{"id":17,"date":"2021-03-08T13:51:37","date_gmt":"2021-03-08T05:51:37","guid":{"rendered":"https:\/\/bioinfo-iclab.nctu.edu.tw\/?page_id=17"},"modified":"2023-04-19T15:55:13","modified_gmt":"2023-04-19T07:55:13","slug":"%e9%9d%9c%e6%85%8b%e9%a6%96%e9%a0%81%e5%8d%80%e6%ae%b5","status":"publish","type":"page","link":"https:\/\/bioinfoic.lab.nycu.edu.tw\/?page_id=17","title":{"rendered":"\u8ad6\u6587\u767c\u8868"},"content":{"rendered":"\n

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  1. S Y Sathipati,* M-J Tsai, S K. Shukla,and S-Y Ho* (2023, Apr). Artificial intelligence driven pan-cancer analysis reveals miRNA signatures for cancer stage prediction. Human Genetics and Genomics Advances<\/em>, 4, 100190. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  2. S Y Srinivasulu, T Carter, S K. Shukla, S-Y Ho (2022, Sep). SPIKES: Identification of physicochemical properties of spike proteins across diverse host species of SARS-CoV-2. STAR protocols<\/em>, 3, 3, 101460.<\/li>\n\n\n\n
  3. Y S Srinivasulu, M-J Tsai, S K Shukla, S-Y Ho, Y Liu, A Behesthi (2022, Mar). MicroRNA signature for estimating the survival time in patients with bladder urothelial carcinoma. Scientific reports<\/em>, 12 (1), 1-12. (SCI, 17\/72, MULTIDISCIPLINARY SCIENCES ).<\/li>\n\n\n\n
  4. Y S Srinivasulu, S K. Shukla and S-Y Ho (2022, Jan). Tracking the amino acid changes of spike proteins across diverse host species of severe acute respiratory syndrome coronavirus. ISCIENCE<\/em>, ISCI 103560. (SCI, 16\/128,MULTIDISCIPLINARY SCIENCES).<\/li>\n\n\n\n
  5. M-Y Lin, H-H Hsieh, J-C Chen, C-L Chen, N-C Sheu, W-S Huang, S-Y Ho, T-W Chen, Y-J Lee, C-Y Wu (2021, Nov). Brachytherapy Approach Using 177Lu Conjugated Gold Nanostars and Evaluation of Biodistribution, Tumor Retention, Dosimetry and Therapeutic Efficacy in Head and Neck Tumor Model. pharmaceutics <\/em>, 13, 1903. (SCI, 29\/276\/PHARMACOLOGY & PHARMACY).<\/li>\n\n\n\n
  6. I-C Lee, J-Y Huang, T-C Chen, C-H Yen, N-C Chiu, H-E Hwang, J-G Huang, C-A Liu, G-Y Chaug R-C Lee, Y-P Hungh, Y Chao, S-Y Ho*, Y-H Huang* (2021, Sep). Evolutionary Learning-Derived Clinical-Radiomic Models for Predicting Early Recurrence of Hepatocellular Carcinoma after Resection. Liver Cancer<\/em>, 10(6), 572-582. (SCI, 7\/92, GASTROENTEROLOGY & HEPATOLOGY). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  7. Y Lin, Y S Srinivasulu, S-Y Ho* (2021, Jun). Predicting the risk genes of autism spectrum disorders. Frontiers in Genetics<\/em>. (SCI, GENETICS & HEREDITY, 75\/178). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  8. Y S Srinivasulu and S-Y Ho* (2021, May). Identification of the miRNA signature associated with survival in patients with ovarian cancer. AGING<\/em>, vol.13. (SCI, GERIATRICS & GERONTOLOGY, 10\/53). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  9. Y S Srinivasulu and S-Y Ho* (2021, Apr). Identification and Characterization of Species-Specific Severe Acute Respiratory Syndrome Coronavirus 2 Physicochemical Properties. Journal of Proteome Research<\/em>. (SCI, BIOCHEMICAL RESEARCH METHODS, 12\/77). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  10. Y-K Wang, H-Y Syu, Y-H Chen, C-S Chung, Y S Tseng, S-Y Ho, C-W Huang, I-C Wu and H-C Wang (2021, Jan). Endoscopic Images by a Single-Shot Multibox Detector for the Identification of Early Cancerous Lesions in the Esophagus: A Pilot Study. Cancers<\/em>, 13(2), 321. (SCI, ONCOLOGY, 37\/244).<\/li>\n\n\n\n
  11. C-Y Chang, W-L Chen, P-Y Hsieh, S-Y Ho, C-C Huang, T-H Lee, C-C Chou, C-F Chang, Y-Y Law, Y-R Lin (2020, Nov). Clinical treatment and medication in decreasing the development of major depression caused by spinal fracture. Journal of International Medical Research<\/em>, 48(11) 1\u201313. (SCI, 121\/139, MEDICINE, RESEARCH & EXPERIMENTAL).<\/li>\n\n\n\n
  12. Y S Srinivasulu, S-Y Ho* (2020, Sep). Novel miRNA signature for predicting the stage of hepatocellular carcinoma. Scientific Reports 10<\/em>, Article number: 14452. (SCI, 17\/71, Multidisciplinary Sciences). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  13. M-J Tsai, J-R Wang, S-J Ho, L-S Shu, W-L Huang, S-Y Ho* (2020, May). GREMA: Modelling of emulated gene regulatory networks with confidence levels based on evolutionary intelligence to cope with the underdetermined problem. Bioinformatics<\/em>, 36, 3833-3840. (SCI, 2\/27, MATHEMATICAL & COMPUTATIONAL BILOGY). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  14. Y-F Hu, S-Y Ho (2020, May). Heterophilic antibodies influence immunometric assay: a case report and reviews. IMMUNOLOGIC RESEARCH<\/em>, 68(2):104-106. (SCI, 112\/159, IMMUNOLOGY).<\/li>\n\n\n\n
  15. L Raghav, Y-H Chang, Y-C Hsu, Y-C Li, C-Y Chen, T-Y Yang, K-C Chen, K-H Hsu, J-S Tseng, C-Y Chuang, M-H Lee, C-L Wang, H-W Chen, S-L Yu, S-F Su, S-S Yuan, J J.W. Chen, S-Y Ho, K-C Li, P-C Yang, G-C Chang* and H-Y Chen* (2020, Mar). Landscape of Mitochondria Genome and Clinical Outcomes in Stage 1 Lung Adenocarcinoma . Cancers<\/em>, 12(3): 755. (SCI, 37\/244, ONCOLOGY).<\/li>\n\n\n\n
  16. C H Chen, C-Y Chang, M-C Yang, J-H Wu, C-H Liao, C-P Su, Y-C Chen, S-Y Ho, C-C Huang, T-H Lee, W-L Chen, C-C Chou and Y-R Lin (2019, Nov). The Impact of Emergency Interventions and Patient Characteristics on the Risk of Heart Failure in Patients with Nontraumatic OHCA. Emergency Medicine International<\/em>, Volume 2019, Article ID 6218389, 10 pages. (SCI, 24\/31, EMERGENCY MEDICINE).<\/li>\n\n\n\n
  17. T-W Yang, W-H Lee, S-J Tu, W-C Huang, H-M Chen, T-H Sun, M-C Tsai, C-C Wang, H-Y Chen, C-C Huang, B-H Shiu, T-L Yang, H-T Huang, Y-P Chou, C-H Chou, Y-R Huang, Y-R Sun, C L, F-M Lin, S-Y Ho, W-L Chen, S-F Yang, K-C Ueng, H-D Huang, C-N Huang, Y-J Jong & C-C Lin (2019, Jul). Enterotype-based Analysis of Gut Microbiota along the Conventional Adenoma-Carcinoma Colorectal Cancer Pathway. Scientific Reports 9<\/em>, Article number: 10923. (SCI, 17\/71, MULTIDISCIPLINARY SCIENCES).<\/li>\n\n\n\n
  18. Y S Srinivasulu, D Sahu, H-C Huang, Y Lin, S-Y Ho* (2019, Mar). Identification and characterization of the lncRNA signature associated with overall survival in patients with neuroblastoma. Scientific Reports 9<\/em>, Article number: 5125 (2019) . (SCI, 12\/64, Multidisciplinary Sciences). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  19. Y S Srinivasulu, S-Y Ho* (2018, Oct). Identifying a miRNA signature for predicting the stage of breast cancer. Scientific Reports 8<\/em>, Article number: 16138. (SCI, 12\/64, Multidisciplinary Sciences). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  20. D Sahu, S-Y Ho, H-F Juan, H-C Huang (2018, Jun). High-risk, Expression-based Prognostic long noncoding RNA Signature in Neuroblastoma.. JNCI Cancer Spectrum<\/em>, Volume 2, Issue 2.<\/li>\n\n\n\n
  21. P Inkeaw, J Bootkrajang, P Charoenkwan, S Marukatat, S-Y Ho, J Chaijaruwanich (2018, Apr). Recognition-based character segmentation for multi-level writing style. International Journal on Document Analysis and Recognition (IJDAR)<\/em>, Volume 21, Issue 1\u20132, pp 21\u201339. (SCI, 85\/132, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE).<\/li>\n\n\n\n
  22. M-J Tsai, J-R Wang, C-D Yang, K-C Kao, W-L Huang, H-Y Huang, C-P Tseng, H-D Huang, S-Y Ho* (2018, Jan). PredCRP: predicting and analysing the regulatory roles of CRP from its binding sites in Escherichia coli.. Scientific Reports 8<\/em>, Article number: 951. (SCI, 12\/64, MULTIDISCIPLINARY SCIENCES). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  23. W-H Lee, H-M Chen, S-F Yang, C Liang, C-Y Peng, F-M Lin, L-L Tsai, B-C Wu, C-H Hsin, C-Y Chuang, T Yang, T-L Yang, S-Y Ho, W-L Chen, K-C Ueng, H-D Huang, C-N Huang and Y-J Jong (2017, Nov). Bacterial alterations in salivary microbiota and their association in oral cancer. Scientific Reports 7<\/em>, Article number: 16540. (SCI, 12\/64, MULTIDISCIPLINARY SCIENCES).<\/li>\n\n\n\n
  24. P Inkeaw, P Charoenkwan, H-L Huang, S Marukatat, S-Y Ho, J Chaijaruwanich (2017, Oct). Recognition of handwritten Lanna Dhamma characters using a set of optimally designed moment features. International Journal on Document Analysis and Recognition (IJDAR)<\/em>, Volume 20, Issue 4, pp 259\u2013274. (SCI, 85\/132, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE).<\/li>\n\n\n\n
  25. Y S Srinivasulu, S-Y Ho* (2017, Aug). Identifying the miRNA signature associated with survival time in patients with lung adenocarcinoma using miRNA expression profiles.. Scientific Reports 7<\/em>, Article number: 7507. (SCI, 12\/64, MULTIDISCIPLINARY SCIENCES). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  26. J-R Wang, W-L Huang, M-J Tsai, K-T Hsu, H-L Huang and S-Y Ho* (2017, Mar). ESA-UbiSite: accurate prediction of human ubiquitination sites by identifying a set of effective negatives. Bioinformatics<\/em>, 33(5): 661-668. (SCI, 3\/56). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  27. T Vasylenko, Y-F Liou,P-C Chiou, H-W Chu, Y-S Lai, Y-L Chou, H-L Huang and S-Y Ho* (2016, Dec). SCMBYK: prediction and characterization of bacterial tyrosinekinases based on propensity scores of dipeptides. BMC Bioinformatics<\/em>, 17 (Suppl 19) :514. (SCI, 10\/57, MATHEMATICAL & COMPUTATIONAL BIOLOGY). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  28. Y S Srinivasulu, H-L Huang and S-Y Ho* (2016, Dec). Estimating survival time of patients with glioblastomamultiforme and characterization of the identified microRNA signatures. BMC Genomics<\/em>, 17(Suppl 13): 1022. (SCI, 35\/160, BIOTECHNOLOGY & APPLIED MICROBIOLOGY). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  29. Yi-Fan Liou, Hui-Ling Huang, and Shinn-Ying Ho* (2016, Dec). A hydrophobic spine stabilizes a surface-exposed \u03b1-helix according to analysis of the solvent-accessible surface area. BMC Bioinformatics<\/em>, 17(Suppl 19): 503.. (SCI, 10\/57, MATHEMATICAL & COMPUTATIONAL BIOLOGY). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  30. J-R Wang, W-L Huang, M-J Tsai, K-T Hsu, H-L Huang, S-Y Ho* (2016, Nov). ESA-UbiSite: accurate prediction of human ubiquitination sites by identifying a set of effective negatives. Bioinformatics<\/em>, Volume 33, Issue 5, Pages 661\u2013668. (SCI, 4\/78, BIOCHEMICAL RESEARCH METHODS). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  31. D Sahu, C-L Hsu, C-C Lin, T-W Yang, W-M Hsu, S-Y Ho, H-F Juan, and H-C Huang. (2016, Sep). Co-expression analysis identifies long noncoding RNA SNHG1 as a novel predictor for event-free survival in neuroblastoma. Oncotarget<\/em>, 7(36): 58022\u201358037.. (SCI, 44\/217, ONCOLOGY).<\/li>\n\n\n\n
  32. W L Chin, H-L Huang, W-C Weng, Y-J Jong, Y-J Yin, H-A Chen, W-T Lee and S-Y Ho* (2016, Jan). Increased risk of epilepsy in children with Tourette syndrome: A population-based case-control study. Research in Developmental Disabilities<\/em>, Volumes 51\u201352,Pages 181-187. (SCI, 8\/38, EDUCATION, SPECIAL). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  33. W-L Huang, M-Ju T, K-T Hsu, J-R Wang, Y-H Chen, and S-Y Ho* (2015, Dec). Prediction of linear B\u2010cell epitopes of hepatitis C virus for vaccine development. BMC Medical Genomics<\/em>, 8(Supp l4):S3. (SCI, 74\/166, GENETICS & HEREDITY). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  34. Y S Srinivasulu, J-R Wang, K-T Hsu, M-J Tsai, P Charoenkwan, W-L Huang, H-L Huang*, and S-Y Ho* (2015, Dec). Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes. BMC Bioinformatics<\/em>, 16(Suppl 18):S14. (SCI, 10\/56, MATHEMATICAL & COMPUTATIONAL BIOLOGY). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  35. Y-F Liou, T VasyLenko, C-L Yeh, W-C Lin, S-H Chiu, P Charoenkwan, L-S Shu, S-Y Ho*, and H-L Huang* (2015, Dec). SCMMTP: Identifying and characterizing membrane transport proteins using propensity scores of dipeptides. BMC Genomics <\/em>, 16(Suppl 12):S6. (SCI, 32\/161, BIOTECHNOLOGY & APPLIED MICROBIOLOGY). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  36. Y-J Tang*, S-Y Ho*, F-Y Chu, H-A Chen, Y-J Yin, H-C Lee, W C-C Chu, H-W Yeh, W-S Chiang, C-L Yeh, H-L Huang, N-S Tzeng (2015, Dec). Is Zolpidem Associated with Increased Risk of Fractures in the Elderly with Sleep Disorders? A Nationwide Case Cross-Over Study in Taiwan. PLoS One<\/em>, 10(12). (SCI, 15\/64, MULTIDISCIPLINARY SCIENCES). \u672c\u4eba\u70ba\u7b2c\u4e00\u4f5c\u8005.<\/li>\n\n\n\n
  37. W-C Weng, H-L Huang, W L Chin, Y-J Jong, Y-J Yin, H-A Chen, W-T Lee and S-Y Ho* (2015, Nov). Increased risks of tic disorders in children with epilepsy: A nation-wide population-based case\u2013control study in Taiwan. Research in Developmental Disabilities<\/em>, Volumes 51\u201352, April\u2013May 2016, Pages 173-180. (SCI, 8\/38, EDUCATION, SPECIAL). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  38. C-W Yang, N-S Tzeng, Y-J Yin, C-H Li, H-A Chen, S-H Chiu, S-Y Ho*, H-L Huang* (2015, Oct). Angiotensin Receptor Blockers Decrease the Risk of Major Adverse Cardiovascular Events in Patients with End-stage Renal Disease on Maintenance Dialysis: A Nationwide Matched-cohort Study. PLoS ONE<\/em>, 10(10):e0140633. (SCI, 15\/64, MULTIDISCIPLINARY SCIENCES). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  39. S-L Lin, F-L Chang, S-Y Ho, P Charoenkwan, K-W Wang, H-L Huang* (2015, Oct). Predicting Neuroinflammation in Morphine Tolerance for Tolerance Therapy from Immunostaining Images of Rat Spinal Cord. PLoS ONE<\/em>, 10(10):e0139806. (SCI, 15\/64, MULTIDISCIPLINARY SCIENCES).<\/li>\n\n\n\n
  40. H-Y Chiu, H-L Huang, C-H Li, H-A Chen, T-F Tsai* and S-Y Ho* (2015, Sep). Increased Risk of Chronic Kidney Disease in Rheumatoid arthritis Associated with Cardiovascular complications\u2014A national Population-Based cohort study. PLOS ONE<\/em>, 10(9): e0136508. (SCI, 15\/64, MULTIDISCIPLINARY SCIENCES). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  41. H-Y Chiu, H-L Huang, C-H Li, Y-J Yin, H-A Chen, S-T Hsu, S-J Lin, T-F Tsai*, and S-Y Ho* (2015, Jul). Increased risk of glomerulonephritis and chronic kidney disease in relation to the severity of psoriasis, concomitant medication, and comorbidity: a nationwide population-based cohort study. British Journal of Dermatology<\/em>, Vol. 173, Issue 1, pp. 146\u2013154. (SCI, 5\/63, DERMATOLOGY). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  42. Y-H Chen, C-D Yang, C-P Tseng, H-D Huang, S-Y Ho* (2015, Jul). GeNOSA: inferring and experimentally supporting quantitative gene regulatory networks in prokaryotes. Bioinformatics<\/em>, 31(13):2151-2158. (SCI, 4\/52, MATHEMATICAL & COMPUTATIONAL BIOLOGY). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  43. C-M Lin, H-L Huang, F-Y Chu, H-C Fan, H-A Chen, D-M Chu, L-W Wu, C-C Wang, W-L Chen, S-H Lin, S-Y Ho* (2015, May). Association between Gastroenterological Malignancy and Diabetes Mellitus and Anti-Diabetic Therapy: A Nationwide, Population-Based Cohort Study. PLoS ONE<\/em>, 10(5): e0125421. (SCI, 15\/64, MULTIDISCIPLINARY SCIENCES). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  44. H-L Huang, Y-C Wu, L-J Su, Y-J Huang, P Charoenkwan, W-L Chen, H-C Lee, W C-C Chu and S-Y Ho* (2015, Feb). Discovery of prognostic biomarkers for predicting lung cancer metastasis using microarray and survival data. BMC Bioinformatics<\/em>, 16:54. (SCI, 8\/52, MATHEMATICAL & COMPUTATIONAL BIOLOGY). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  45. N-S Tzeng, Y-H Hsu, S-Y Ho, Y-C Kuo, H-C Lee, Y-J Yin, H-A Chen, W-L Chen, W C-C Chu, H-L Huang (2015, Jan). Is schizophrenia associated with an increased risk of chronic kidney disease? A nationwide matched-cohort study. BMJ Open<\/em>, 5(1):e006777. (SCI, 40\/154, MEDICINE, GENERAL & INTERNAL).<\/li>\n\n\n\n
  46. T Vasylenko, Y-F Liou, H-A Chen, P Charoenkwan, H-L Huang* and S-Y Ho* (2015, Jan). SCMPSP: Prediction and characterization of photosynthetic proteins based on a scoring card method. BMC Bioinformatics<\/em>, 16(Suppl 1):S8. (SCI, 11\/57, MATHEMATICAL & COMPUTATIONAL BIOLOGY). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  47. Y-F Liou, P Charoenkwan, Y S Srinivasulu, T Vasylenko, S-C Lai, H-C Lee, Y H Chen, H-L Huang* and S-Y Ho* (2014, Dec). SCMHBP: Prediction and analysis of heme binding proteins using propensity scores of dipeptides. BMC Bioinformatics<\/em>, 15 Suppl 16:S4. (SCI, 11\/57, MATHEMATICAL & COMPUTATIONAL BIOLOGY). MOST 103-2221-E-009-117. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  48. C-L Kuo, C-Y Chen, H-L Huang, W-L Chen, H-C Lee, C-Y Chang, C-C Chou, S-Y Ho*, H-P Wu*, Y-R Lin* (2014, Jul). Increased risk of major depression subsequent to a first-attack and non-infection caused urticaria in adolescence: A nationwide population-based study. BMC Pediatrics<\/em>, 14(1):181. (SCI, 41\/120, PEDIATRICS). nstc 102-2314-B-371-010. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  49. H-L Huang, S-Y Ho, C-H Li, F-Y Chu, L-P Ciou, H-C Lee, W-L Chen, N-S Tzeng* (2014, May). Bronchial asthma is associated with increased risk of chronic kidney disease. BMC Pulmonary Medicine<\/em>, 14(1):80. (SCI, 31\/58, RESPIRATORY SYSTEM). MOST 101-2627-B-009-003.<\/li>\n\n\n\n
  50. C-Y Chang, W-L Chen, Y-F Liou, C-C Ke, H-C Lee, H-L Huang, L-P Ciou, C-C Chou, M-C Yang, S-Y Ho* and Y-R Lin* (2014, Mar). Increased Risk of Major Depression in the Three Years following a Femoral Neck Fracture-A National Population-Based Follow-Up Study. PLoS ONE<\/em>, 9(3):e89867. (SCI, 9\/57, MULTIDISCIPLINARY SCIENCES). MOST 102-2314-B-371-010. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  51. H-L Huang, M-C Li, T Vasylenko, S-Y Ho* (2014, Feb). Computational prediction and analysis of human transporters using physicochemical properties of amino acids. international journal of engineering and technical research<\/em>, 2(2):180-187. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  52. W-L Huang, C-W Tung, C Liaw, H-L Huang, and S-Y Ho* (2014, Jan). Rule-based knowledge acquisition method for promoter prediction in human and drosophila species. The Scientific World Journal<\/em>, 2014(14). (SCI, 13\/56, MULTIDISCIPLINARY SCIENCES). nstc 102-2627-B-009-003. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  53. H-L Huang, H-C Lee, S-C Lai, T-M Tsai, S-C Chou, B-f Liu, Y-J Yin, H-A Chen, and S-Y Ho* (2013, Nov). An Efficient Sampling Method for Television Ratings and its Application to Taiwan Cable TV Channels. Journal of Applied Sciences<\/em>, 13(13), 2602-2605. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  54. P Charoenkwan, E Hwang, R W Cutler, H-C Lee, L-W Ko, H-L Huang, and S-Y Ho* (2013, Oct). HCS-Neurons: Identifying phenotypic changes in multi-neuron images upon drug treatments of high-content screening. BMC Bioinformatics<\/em>, 14(Suppl 16):S12. (SCI, 11\/57, MATHEMATICAL & COMPUTATIONAL BIOLOGY). nstc 101-2627-B-009-003. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  55. P Charoenkwan, W Shoombuatong, H-C Lee, J Chaijaruwanich, H-L Huang,and S-Y Ho* (2013, Sep). SCMCRYS: Predicting Protein Crystallization Using an Ensemble Scoring Card Method with Estimating Propensity Scores of P-Collocated Amino Acid Pairs. PloS ONE<\/em>, 8(9), e72368. (SCI, 9\/57, MULTIDISCIPLINARY SCIENCES). nstc 101-2627-B-009-003. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  56. C-L Yang**, H-C Lee**, C-C Chen, T-P Jung, S- Y Ho, L-W Ko* (2013, Aug). Working Memory Performance and Brain Oscillations under Stress. Communications in Computer and Information Science (CCIS) (ISBN: 1865-0929)<\/em>.<\/li>\n\n\n\n
  57. H-C Lee, L-W Ko, K-L Lai, H-L Huang, M-S Song, W-L Chen, S-J Wang* and S-Y Ho* (2013, Aug). Prediction of Resting- state EEG Using High-dimensional Patterns. Journal of Applied Mechanics and Materials<\/em>, 421, 528-533. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  58. H-L Huang, Y-F Liou, H-C Lee, P Charoenkwan,C-D Chang, Y S Srinivasulu, W-L Chen, T Vasylenko, S-Y Ho* (2013, Aug). Predicting and Analyzing Lipid-Binding Proteins Using an Efficient Physicochemical Property Mining Method. Journal of Applied Mechanics and Materials<\/em>, 421, 313-318. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  59. W-L Huang, C Liaw, C-T Tsai and S-Y Ho* (2013, Aug). Identification and Analysis of Single- and Multiple-region Mitotic Protein Complexes by Grouping Gene Ontology Terms. Journal of Applied Mechanics and Materials<\/em>, 421, 277-285. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  60. Y T Liu, H-C Lee, S-Y Ho*, L-W Ko* (2013, Aug). An Evoked Oscillations Study in Scenario-compatible Stop-Signal Task. Journal of Neuroscience and Neuroengineering<\/em>. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  61. H-L Huang, F-L Chang, S-J Ho, L-S Shu, W-L Huang and S-Y Ho* (2013, Mar). FRKAS: Knowledge Acquisition Using a Fuzzy Rule Base Approach to Insight of DNA-Binding Domains\/Proteins. Protein & Peptide Letters<\/em>. (SCI, 205\/290,BIOCHEMISTRY & MOLECULAR BIOLOGY). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  62. C Liaw, C-W Tung and S-Y Ho* (2013, Jan). Prediction and Analysis of Antibody Amyloidogenesis from Sequences. PLoS ONE<\/em>, No 8, e5235. (SCI, 12\/85,BIOLOGY). nstc 101-2627-B-009-003. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  63. H-L Huang, H-C Lee, S-C Lai, T-M Tsai, S-C Chou, B-f Liu, Y-J Yin, H-A Chen, and S-Y Ho* (2013, Jan). Predicting Television Ratings and Its Application to Taiwan Cable TV Channels. Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation<\/em>, 68, 189-193. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  64. H-L Huang, H-C Lee, Y-F Liou, M-C Li, and S-Y Ho* (2012, Dec). Designing predictors of carbohydrate-binding proteins using informative physicochemical properties. Bioinformatics and Biomedical Technology<\/em>, 29, 155-160. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  65. H-L Huang, P Charoenkwan, T-F Kao, H-C Lee, F-L Chang, W-L Huang, S-J Ho, L-S Shu, W-L Chen and S-Y Ho* (2012, Dec). Prediction and analysis of protein solubility using a novel scoring card method with dipeptide composition. BMC Bioinformatics<\/em>, Vol. 13 Supplement 17, S3. (SCI, 7\/47, MATHEMATICAL & COMPUTATIONAL BIOLOGY). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  66. C-T Chen, H-P Peng, J-W Jian, K-C Tsai, J-Y Chang, E-W Yang, J-B Chen, S-Y Ho, W-L Hsu, A-S Yang* (2012, Jun). Protein-Protein Interaction Site Predictions with Three-Dimensional Probability Distributions of Interacting Atoms on Protein Surfaces. PLoS ONE<\/em>. (SCI, 7\/56, MULTIDISCIPLINARY SCIENCES).<\/li>\n\n\n\n
  67. C-W Tung, M Ziehm, A K\u00e4mper, O Kohlbacher* and S-Y Ho* (2011, Nov). POPISK: T-cell reactivity prediction using support vector machines and string kernels. BMC Bioinformatics<\/em>, 12:446. (SCI, 7\/47, MATHEMATICAL & COMPUTATIONAL BIOLOGY). nstc 100-2221-E-009-143. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  68. S-Y Ho*, C-Y Chao, H-L Huang, T-W Chiu, P Charoenkwan and E Hwang* (2011, Jun). NeurphologyJ: an automatic neuronal morphology quantification method and its application in pharmacological discovery. BMC Bioinformatics<\/em>, 12. (SCI, 7\/47, MATHEMATICAL & COMPUTATIONAL BIOLOGY). nstc 98-2311-B-009-001-MY2. \u672c\u4eba\u70ba\u7b2c\u4e00\u4f5c\u8005.<\/li>\n\n\n\n
  69. H-L Huang, I-C Lin, Y-F Liou, C-T Tsai, K-T Hsu, W-L Huang, S-J Ho, and S-Y Ho* (2011, Jan). Predicting and analyzing DNA-binding domains using a systematic approach to identifying a set of informative physicochemical and biochemical properties. BMC Bioinformatics<\/em>, vol.12 (Suppl 1). (SCI, 7\/47, MATHEMATICAL & COMPUTATIONAL BIOLOGY). nstc 99-2627-B-009-002. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  70. H-N Lin, T-Y Sung, S-Y Ho, W-L Hsu* (2010, Dec). Improving protein secondary structure prediction based on short subsequences with local structure similarity. BMC Genomics<\/em>, 11(Suppl 4):S4. (SCI, 21\/160, BIOTECHNOLOGY & APPLIED MICROBIOLOGY).<\/li>\n\n\n\n
  71. C-H Hung, H-L Huang, K-T Hsu, S-J Ho, S-Y Ho* (2010, Jul). Prediction of non-classical secreted proteins using informative physicochemical properties. Interdiscip Sci Comput Life Sci<\/em>, Volume 2, Number 3, p. 263-270. (\u5176\u5b83). nstc 97-2627-B-009-005. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  72. S-Y Ho*,W-L Huang, C-W Tung and H-L Huang (2009, Nov). Predicting protein subnuclear localization using GO-amino-acid composition features. BioSystems<\/em>, vol.98,issue 2,pp73-79. (SCI, 38\/83, BIOLOGY). \u672c\u4eba\u70ba\u7b2c\u4e00\u4f5c\u8005.<\/li>\n\n\n\n
  73. H-N Lin, C-T Chen, T-Y Sung, S-Y Ho and W-L Hsu* (2009, Oct). Protein subcellular localization prediction of eukaryotes using a knowledge-based approach. BMC BIOINFORMATICS<\/em>, (Suppl 15):S8. (SCI, 7\/47, MATHEMATICAL & COMPUTATIONAL BIOLOGY).<\/li>\n\n\n\n
  74. C-T Tsai, W-L Huang, S-J Ho, L-S Shu, and S-Y Ho* (2009, Sep). Virulent-GO: Prediction of Virulent Proteins in Bacterial Pathogens Utilizing Gene Ontology Terms. International Journal of Biological and Life Sciences<\/em>, vol 5:4, pp.159-166. (\u5176\u5b83). nstc 97-2627-B-009-005. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  75. K-T Hsu, H-L Huang, C-W Tung, Y-H Chen and S-Y Ho* (2009, Sep). Analysis of physicochemical properties on prediction of R5, X4 and R5X4 HIV-1 coreceptor usage. International Journal of Biological and Life Sciences<\/em>, vol5:4, pp.208-215. (\u5176\u5b83). nstc 97-2627-B-009-005. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  76. H-Y Huang, H-Y Chang, C-H Chou, C-P Tseng, S-Y Ho, C-D Yang, Y-W Ju, and H-D Huang* (2009, Jan). sRNAMap: Genomic maps for small non-coding RNAs, their regulators and their targets in microbial genomes. Nucleic Acids Research<\/em>, vol. 37, Database issue. (SCI, 27\/290, BIOCHEMISTRY & MOLECULAR BIOLOGY).<\/li>\n\n\n\n
  77. C-W Tung, S-Y Ho* (2008, Jul). Computational identification of ubiquitylation sites from protein sequences. BMC Bioinformatics<\/em>, 9:310. (SCI). nstc 96-2627-B-009-002. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  78. M-H Hung, L-S Shu, S-J Ho, S-F Hwang and S-Y Ho (2008, Mar). A Novel Intelligent Multiobjective Simulated Annealing Algorithm for Designing Robust PID Controllers. IEEE Trans. Systems, Man, and Cybernetics Part A – Systems and Humans<\/em>, Volume: 38 Issue:2, pp. 319-330. (SCI). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  79. S.-Y. Ho*, H.-S. Lin, W.-H. Liauh, S.-J. Ho (2008, Mar). OPSO: Orthogonal Particle Swarm Optimization and Its Application to Task Assignment Problems. IEEE Trans. Systems, Man, and Cybernetics Part A – Systems and Humans<\/em>, Volume: 38 Issue:2 . (SCI). \u672c\u4eba\u70ba\u7b2c\u4e00\u4f5c\u8005.<\/li>\n\n\n\n
  80. W.-L. Huang, C.-W. Tung, S.-W. Ho, S.-F. Hwang and S.-Y. Ho* (2008, Feb). ProLoc-GO: Utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization. BMC Bioinformatics<\/em>, 9\u671f, P80. (SCI, 3\/29 MATHMATICAL &COMPUTATIONAL BIOLOGY). nstc 96-2628-E-009-141-MY3. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  81. S.-Y. Ho*, C.-H. Hsieh, F.-C. Yu, and H.-L. Huang, (2007, Oct). An intelligent two-stage evolutionary algorithm for dynamic pathway identification from gene expression profiles. IEEE\/ACM Transactions on Computational Biology and Bioinformatics<\/em>, 4\u671f, P.648-P.660. (SCI). nstc 95-2221-E-009-116. \u672c\u4eba\u70ba\u7b2c\u4e00\u4f5c\u8005\u3001\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  82. W.-L. Huang, H.-M. Chen, S.-F. Hwang, S.-Y. Ho* (2007, Sep). Accurate prediction of enzyme subfamily class using an adaptive fuzzy k-nearest neighbor method. BioSystems<\/em>, Volume 90, Issue 2, P. 405-413 . (SCI, 29\/71, BIOLOGY). nstc 95-2627-B-009-002.<\/li>\n\n\n\n
  83. H.-L. Huang, C.-C. Lee, S.-Y. Ho* (2007, Jul). Selecting a minimal number of relevant genes from microarray data to design accurate tissue classifiers. BioSystems<\/em>, vol. 90, issue 1, p. 78-86. (SCI, 29\/71, BIOLOGY). nstc 95-2221-E-009-116.<\/li>\n\n\n\n
  84. S.-Y. Ho*, F.-C. Yu, C.-Y. Chang, and H.-L. Huang (2007, Jun). Design of accurate predictors for DNA-binding sites in proteins. BioSystems<\/em>, vol 90, issue 1,pp 234-241. (SCI, 29\/71, BIOLOGY). nstc 94-2627-B-009-003.<\/li>\n\n\n\n
  85. L.-T. Huang, M.M. Gromiha*, S.-Y. Ho (2007, Mar). iPTREE-STAB: Interpretable Decision Tree Based Method for Predicting Protein Stability Changes upon Mutations. Bioinformatics<\/em>, Vol. 23 no. 10 2007, P. 1292\u20131293. (SCI, 2\/27, MATHEMATICAL & COMPUTATIONAL BILOGY).<\/li>\n\n\n\n
  86. L.-T. Huang, M.M. Gromiha, S.-Y. Ho* (2007, Mar). Sequence Analysis and Rule Development of Predicting Protein Stability Change upon Mutation Using Decision Tree Model. Journal of Molecular Modeling<\/em>, Volume 13, Number 8, 879-890. (SCI).<\/li>\n\n\n\n
  87. C.-W. Tung and S.-Y. Ho* (2007, Feb). POPI: predicting immunogenicity of MHC class I binding peptides by mining informative physicochemical properties. Bioinformatics<\/em>, vol. 23, issue 8, P. 942-949. (SCI, 2\/27, MATHEMATICAL & COMPUTATIONAL BILOGY). nstc 94-2627-B-009-003.<\/li>\n\n\n\n
  88. L.-T. Huang, K. Saraboji, S.-Y. Ho, S.-F. Hwang, M.N. Ponnuswamy, and M.M. Gromiha* (2007, Feb). Prediction of protein mutant stability using classification and regression tool. Biophysical Chemistry<\/em>, Volume 125, Issues 2-3, P. 462-470 . (SCI, 107\/159, CHEMISTRY, PHYSICAL). nstc 95-2627-B-009-002.<\/li>\n\n\n\n
  89. W.-L. Huang, C.-W. Tung, H.-L. Huang, S.-F. Hwang, S.-Y. Ho* (2007, Jan). ProLoc: Prediction of protein subnuclear localization using SVM with automatic selection from physicochemical composition features. BioSystems<\/em>, vol. 90, issue 2, pp. 571-581. (SCI, 29\/71, BIOLOGY). nstc 94-2627-B-009-003.<\/li>\n\n\n\n
  90. H.-M. Chen, B.-F. Liu, H.-L. Huang, S.-F. Hwang, and S.-Y. Ho*, (2006, Nov). SODOCK: Swarm Optimization for Highly Flexible Protein-Ligand Docking. Journal of Computational Chemistry<\/em>. (SCI). nstc 95-2627-B-009-002. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  91. S.-J. Ho, Wen-Yuan Ku, Jun-Wun Jou, M.-H. Hung, S.-Y. Ho* (2006, Nov). Intelligent Particle Swarm Optimization in Multi-objective Problems. Lecture Notes in Artificial Intelligence<\/em>, LNAI 3918, pp. 790-800. (SCI).<\/li>\n\n\n\n
  92. S.-Y. Ho*, C.-H. Hsieh, K.-W. Chen, H.-L. Huang, H.-M. Chen, and S.-J. Ho (2006, Nov). Scoring method for tumor prediction from microarray data using an evolutionary fuzzy classifier. Lecture Notes in Artificial Intelligence<\/em>, LNAI 3918, pp. 520-529. (SCI). nstc 95-2221-E-009-116.<\/li>\n\n\n\n
  93. L.-T. Huang, M.M. Gromiha, S.-F. Hwang, and S.-Y. Ho* (2006, Sep). Knowledge Acquisition and Development of Accurate Rules for Predicting Protein Stability Changes. Computational Biology and Chemistry<\/em>, P.408-P.415. (SCI). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  94. S.-J. Ho, L.-S. Shu, and S.-Y. Ho* (2006, Jun). Optimizing Fuzzy Neural Networks for Tuning PID Controllers Using an Orthogonal Simulated Annealing Algorithm OSA. IEEE Trans. Fuzzy Systems<\/em>, P.421-P.434. (SCI). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  95. S.-Y. Ho*, C.-H. Hsieh, H.-M. Chen, and H.-L. Huang (2006, Jan). Interpretable gene expression classifier with an accurate and compact fuzzy rule base for microarray data analysis. BioSystems<\/em>, vol. 85, pp. 165-176. (SCI, 29\/71, BIOLOGY). nstc 95-2221-E-009-116.<\/li>\n\n\n\n
  96. J.-H. Chen, S.-Y. Ho*, (2005, Nov). A Novel Approach to Production Planning of Flexible Manufacturing Systems Using an Efficient Multi-Objective Genetic Algorithm. International Journal of Machine Tools and Manufacture<\/em>, vol. 45, issues 7-8, pp. 949-957. (SCI).<\/li>\n\n\n\n
  97. S.-J. Ho, S.-Y. Ho, and L.-S. Shu (2005, Nov). Designing Structure-Specified Mixed H2\/H\uffe5 Optimal Controllers Using an Intelligent Genetic Algorithm IGA. IEEE Trans. Control System Technology<\/em>, VOL. 13, NO. 6, p.1119-p.1124. (SCI). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  98. J.-H. Chen, H.-M. Chen, S.-Y. Ho* (2005, Jul). Design of Nearest Neighbor Classifier: Multi-objective Approach. International Journal of Approximate Reasoning<\/em>, volume 40, issues 1-2, pp. 3-22. (SCI).<\/li>\n\n\n\n
  99. J.-H. Chen and S.-Y. Ho (2005, Jun). A Novel Approach to Production Planning of Flexible Manufacturing Systems Using an Efficient Multi-Objective Genetic Algorithm. International Journal of Machine Tools and Manufacture<\/em>, vol. 45, issues 7-8, pp. 949-957. (SCI). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  100. K.-C. Lee*, S.-J. Ho and S.-Y. Ho (2005, Jan). Accurate Estimation of Surface Roughness from Texture Features of the Surface Image Using an Adaptive Neuro-Fuzzy Inference System. Precision Engineering<\/em>, Volume 29, Issue 1, Pages 95-100 . (SCI).<\/li>\n\n\n\n
  101. S.-Y. Ho, L.-S. Shu, and J.-H. Chen (2004, Dec). Intelligent Evolutionary Algorithms for Large Parameter Optimization Problems. IEEE Trans. Evolutionary Computation<\/em>, VOL. 8, NO. 6, p.522-p.541. (SCI). \u672c\u4eba\u70ba\u7b2c\u4e00\u4f5c\u8005\u3001\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
  102. S.-J. Ho, S-Y Ho*, and L.-S. Shu (2004, Sep). OSA: Orthogonal Simulated Annealing Algorithm and Its Application to Designing Mixed H2\/H\uffe5 Optimal Controllers. , vol. 34, no. 5, pp. 588-600. (SCI).<\/li>\n\n\n\n
  103. Shinn-Ying Ho*, S.-J. Ho, and Y.-K. Lin (2004, Aug). An Orthogonal Simulated Annealing Algorithm for Large Floorplanning Problems. IEEE Trans. VLSI systems<\/em>, vol. 12, no. 8, pp. 874-876. (SCI).<\/li>\n\n\n\n
  104. L.-S. Shu, Shinn-Ying Ho* and S.-J. Ho (2004, Jul). A Novel Orthogonal Simulated Annealing Algorithm for Optimization of Electromagnetic Problems. IEEE Trans. Magnetics<\/em>, vol. 40, no. 4, pp. 1791-1795. (SCI).<\/li>\n\n\n\n
  105. Shinn-Ying Ho*, H.-M. Chen, S.-J. Ho, and T.-K. Chen (2004, Apr). Design of Accurate Classifiers with a Compact Fuzzy-Rule Base Using an Evolutionary Scatter Partition of Feature Space. IEEE Trans. Systems, Man, and Cybernetics\u2500Part B<\/em>, vol. 34, no. 2, pp. 1031-1044,. (SCI).<\/li>\n\n\n\n
  106. S-Y Ho*, J-H Chen and M-H Huang (2004, Feb). Inheritable Genetic Algorithm for Biobjective 0\/1 Combinatorial Optimization Problems and its Applications. Pattern Recognition<\/em>, VOL 34. NO.1 609-620. (SCI).<\/li>\n\n\n\n
  107. H.-L. Huang and S.-Y. Ho (2003, May). Mesh Optimization for Surface Approximation Using an Efficient Coarse-to-Fine Evolutionary Algorithm. Pattern Recognition<\/em>, 36\u671f, P.1065-P.1081. (SCI). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n<\/ol>\n\n\n\n

    \u5c08\u66f8\u8ad6\u6587<\/mark><\/h1>\n\n\n\n
      \n
    1. H-L Huang, M-H Hsu, H-C Lee, P Charoenkwan, S-J Ho, and S-Y Ho*<\/strong>. Prediction of Mouse Senescence From HE-Stain Liver Images Using An Ensemble SVM Classifier. Intelligent Information and Database Systems, Lecture Notes in Computer Science<\/em> (ISBN: 978-3-642-36543-0). Springer. Mar, 2013: Volume 7803, pp. 325-334.<\/li>\n<\/ol>\n\n\n\n

      \u7814\u8a0e\u6703\u8ad6\u6587<\/mark><\/h1>\n\n\n\n
        \n
      1. T-Y Lo, P-Y Wei, C-H Yen, J-F Lirng, M-H Yang, P-Y Chu, S-Y Ho*<\/strong> (2018, Nov). Prediction of Metastasis in Head and Neck Cancer from Computed Tomography Images. Proceedings of the 2018 International Conference on Robotics and Artificial Intelligence. ACM, 2018.. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      2. T Vasylenko, Y-F Liou,P-C Chiou, H-W Chu, Y-S Lai, Y-L Chou, H-L Huang and S-Y Ho*<\/strong> (2016, Dec). SCMBYK: prediction and characterization of bacterial tyrosinekinases based on propensity scores of dipeptides. presented at International Conference on Bioinformatics 2016(InCoB 2016). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      3. Y-F Liou, H-L Huang and S-Y Ho*<\/strong> (2016, Dec). A hydrophobic spine stabilizes a surface-exposed \u03b1-helix according to analysis of the solvent-accessible surface area. presented at International Conference on Bioinformatics 2016(InCoB 2016). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      4. Y S Srinivasulu, H-L Huang and S-Y Ho*<\/strong> (2016, Sep). Estimating survival time of patients with glioblastoma multiforme and characterization of the identified microRNA signatures. presented at International Conference on Bioinformatics 2016(InCoB 2016). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      5. H-C Lee, L-W Ko, H-L Huang, J-Y Wu, Y-T Chuang, S-Y Ho*<\/strong> (2014, Dec). Statistical Analysis and Classification of EEG-based Attention Network Task Using Optimized Feature Selection. IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014), Orlando, USA. NSC 102-2911-I-009-101. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      6. H-L Huang, H-C Lee, P Charoenkwan, W-L Huang, L-S Shu and S-Y Ho*<\/strong> (2014, Aug). Interpretable knowledge acquisition for predicting bioluminescent proteins using an evolutionary fuzzy classifier method. The Eighth International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP 2014), Rome, Italy. NSC 102-2221-E-009-169. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      7. Y-F Liou, P Charoenkwan, Y S Srinivasulu, T Vasylenko, S-C Lai, H-C Lee, Y H Chen, H-L Huang* and S-Y Ho* <\/strong>(2014, Jul). SCMHBP: Prediction and analysis of heme binding proteins using propensity scores of dipeptides. International Conference on Bioinformatics 2014 (InCoB 2014), Sydney, Australia. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      8. H-L Huang, H-C Lee, S-C Lai, T-M Tsai, S-C Chou, B-f Liu, Y-J Yin, H-A Chen, and S-Y Ho*<\/strong> (2013, Dec). Predicting Television Ratings and Its Application to Taiwan Cable TV Channels. 2nd International Symposium on Computer, Communication, Control and Automation (3CA 2013). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      9. H-L Huang, H-C Lee, S-C Lai, T-M Tsai, S-C Chou, B-f Liu, Y-J Yin, H-A Chen, and S-Y Ho*<\/strong> (2013, Sep). An Efficient Sampling Method for Television Ratings and Its Application to Taiwan Cable TV Channels. The 3rd International Conference on Computer Science and Logistics Engineering (ICCSLE2013), Hong Kong. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      10. P Charoenkwan, E Hwang, R W. Cutler, H-C Lee, L-W Ko, H-L Huang*, S-Y Ho* <\/strong>(2013, Sep). HCS-Neurons: Identifying phenotypic changes in multi-neuron images upon drug treatments of highcontent screening. 12th International Conference on Bioinformatics (InCoB 2013), Taicang, China. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      11. H-C Lee ,L-W Ko, K-L Lai, H-L Huang, M-S Song, W-L Chen, S-J Wang, S-Y Ho*<\/strong> (2013, Aug). Prediction of Resting-state EEG Using High-dimensional Patterns. 2013 4th International Conference on Information Technology for Manufacturing Systems (ITMS 2013), Auckland, New Zealand. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      12. H-l Huang, Y-F Liou, H-C Lee, P Charoenkwan,C-D Chang, Y S Srinivasulu, W-L Chen, T Vasylenko, S-Y Ho* <\/strong>(2013, Aug). Predicting and Analyzing Lipid-Binding Proteins Using an Efficient Physicochemical Property Mining Method. 2013 4th International Conference on Information Technology for Manufacturing Systems (ITMS 2013), Auckland, New Zealand. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      13. W-L Huang, C Liaw, C-T Tsai,and S-Y Ho*<\/strong> (2013, Aug). Identification and Analysis of Single- and Multiple-region Mitotic Protein Complexes by Grouping Gene Ontology Terms. 2013 4th International Conference on Information Technology for Manufacturing Systems (ITMS 2013), Auckland, New Zealand. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      14. C-L Yang, H-C Lee, C-C Chen, T-P Jung, S-Y Ho<\/strong>, L-W Ko* (2013, Jul). Working Memory Performance and Brain Oscillations under Stress. 15th International Conference on Human-Computer Interaction (HCI International 2013), Las Vegas, USA.<\/li>\n\n\n\n
      15. H-L Huang, P Charoenkwan, Y S Srinivasulu, H-C Lee and S-Y Ho*<\/strong> (2013, Apr). Designing predictors of halophilic and non-halophilc proteins using support vector machines. IEEE Symposium Series on Computational Intelligence, Singapore. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      16. L-W Ko, H-C Lee, S-F Tsai, T-C Shih, Y-T Chuang, H-L Huang, S-Y Ho*<\/strong>,and C-T Lin* (2013, Apr). EEG-based Motion Sickness Classification system with Genetic Feature Selection. IEEE Symposium Series on Computational Intelligence 2013, Singapore. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      17. W Shoombuatong, P Charoenkwan, H-L Huang, H-C Lee, J Chaijaruwanich and S-Y Ho*<\/strong> (2013, Apr). Predicting Protein Crystallization Using a Simple Scoring Card Method. IEEE Symposium Series on Computational Intelligence, Singapore. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      18. H-L Huang, M-H Hsu, H-C Lee, P Charoenkwan, S-J Ho, and S-Y Ho*<\/strong> (2013, Mar). Prediction of Mouse Senescence From HE-Stain Liver Images Using An Ensemble SVM Classifier. 5th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2013), Kuala Lumpur, Malaysia. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      19. C-T Lin, S-F Tsai, H-C Lee, H-L Huang, S-Y Ho*<\/strong> and L-W Ko* (2012, Jun). Motion Sickness Estimation System. IEEE International Joint Conference on Neural Networks, Brisbane, Australia. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      20. H-C Lee, Y-F Liou, P Charoenkwan, S-J Ho, L-S Shu, S-Y Ho<\/strong>, and H-L Huang* (2012, May). Prediction of Carbohydrate-Binding Proteins Using a Scoring Card Method. The 6th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2012). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      21. H-L Huang, Y-F Liou, H-C Lee, W-L Huang, and S-Y Ho*<\/strong> (2012, May). Designing predictors of bioluminescence proteins using an efficient physicochemical property mining method. The 6th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2012). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      22. H-L Huang, H-C Lee, Y-F Liou, M-C Li, and S-Y Ho*<\/strong> (2012, Apr). Designing predictors of carbohydrate-binding proteins using informative physicochemical properties. 2012 4th International Conference on Bioinformatics and Biomedical Technology (ICBBT 2012), Singapore. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      23. H-L Huang, S-B Chang, Y-H Chen, and S-Y Ho*<\/strong> (2011, Dec). Optimization approach to estimation of kinetic parameters for modelling metabolic pathways of muscle glycogenolysis. The 22nd International Conference on Genome Informatics, Korea. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      24. H-L Huang,Y-H Lin, W-L Huang and S-Y Ho*<\/strong> (2011, Dec). Intelligent triple-objective genetic algorithm for selecting informative Tag SNPs. The 22nd International Conference on Genome Informatics, Korea. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      25. L-S Shu, H-L Huang, S-J Ho, S-Y Ho*<\/strong> (2011, Nov). Establishing large-scale gene regulatory networks using a gene-knowledge-embedded evolutionary computation method. IEEE International Conference on Computer Science and Automation Engineering, Shanghai, China. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      26. H-L Huang, F-L Chang, S-J Ho, L-S Shu, and S-Y Ho* <\/strong>(2011, Jun). Interpretable knowledge acquisition for predicting DNA-binding domains using an evolutionary fuzzy classifier method. IEEE International Conference on Computer Science and Automation Engineering, Shanghai, China. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      27. W-L Huang, C Liaw and S-Y Ho* <\/strong>(2011, Jun). Predicting non-classical secretory proteins by using Gene Ontology terms and physicochemical properties. IEEE International Conference on Computer Science and Automation Engineering, Shanghai, China. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      28. H-L Huang, I-C Lin, Y-F Liou, C-T Tsai, K-T Hsu, W-L Huang, S-J Ho, and S-Y Ho* <\/strong>(2011, Jan). Predicting and analyzing DNA-binding domains using a systematic approach to identifying a set of informative physicochemical and biochemical properties. The Asia Pacific Bioinformatics Conference, Jan, Korea. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      29. C Liaw, C-W Tung, S-J Ho, S-Y Ho*<\/strong> (2010, May). Sequence-based Prediction Of Gamma-turn Types Using A Physicochemical Property-based Decision Tree Method. International Conference on Computational Biology. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      30. C-W Tung, C Liaw, S-J Ho, S-Y Ho*<\/strong> (2010, May). Prediction of protein subchloroplast locations using Random Forests. International Conference on Computational Biology. \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      31. W-L Huang ,C-W Tung ,S-Y Ho*<\/strong> (2010, Feb). Human Pol II promoter prediction by using nucleotide property composition features. The International Symposium on Biocomputing (ISB). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      32. Y-J Lin, C-T Tsai, H-L Huang, S-Y Ho*<\/strong> (2010, Feb). Designing predictors of DNA-binding proteins using an efficient physicochemical property mining method. The 2nd International Conference on Computer and Automation Engineering (ICCAE2010). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      33. C-H Hung, H-L Huang, K-T Hsu, S-J Ho and S-Y Ho*<\/strong> (2009, Oct). Prediction of non-classical secreted proteins using informative physicochemical properties. The International Conference on Computational and Systems Biology (ICBBA) . \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      34. C-T Tsai, W-L Huang, S-J Ho, L-S Shu and S-Y Ho*<\/strong> (2009, May). Virulent-GO: Prediction of virulent proteins inbacterial pathogens utilizing Gene Ontology terms. International Conference on Bioinformatics and Bioengineering (ICBB). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      35. K-T Hsu, H-L Huang, C-W Tung, Y-H Chen and S-Y Ho*<\/strong> (2009, May). Analysis of physicochemical properties on prediction of R5, X4 and R5X4 HIV-1 coreceptor usage. International Conference on Bioinformatics and Bioengineering (ICBB). \u672c\u4eba\u70ba\u901a\u8a0a\u4f5c\u8005.<\/li>\n\n\n\n
      36. W.-L. Huang, C.-W. Tung, S.-W. Ho, and S.-Y. Ho*<\/strong> (2008, Sep). ProLoc-rGO: Using rule-based knowledge with Gene Ontology terms for prediction of protein subnuclear localization. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. (CIBCB).<\/li>\n\n\n\n
      37. H.-L. Huang, K.-W. Chen, S.-J. Ho, S.-Y. Ho*<\/strong> (2008, Jun). Inferring S-system Models of Genetic Networks from a Time-series Real Data Set of Gene Expression Profiles. IEEE Congress on Evolutionary Computation 2008.<\/li>\n\n\n\n
      38. C.-W. Tung and S.-Y. Ho*<\/strong> (2007, Dec). Mining physicochemical properties for predicting immunogenicity of MHC class II binding peptides. 18th International Conference on Genome Informatics.<\/li>\n\n\n\n
      39. Y.-H. Chen and S.-Y. Ho*<\/strong> (2007, Nov). GRNet: An efficient and robust evolutionary method for reconstructing gene regulatory networks. 18th International Conference on Genome Informatics.<\/li>\n\n\n\n
      40. S.-J. Ho, C.-Y. Chang, L.-T. Huang, S.-F. Hwang, and S.-Y. Ho*<\/strong> (2007, Oct). Acquisition of Rule-based Knowledge for Analyzing DNA-binding Sites in Proteins. In proc. of the 2nd International Conf. on Scalable Information Systems .<\/li>\n\n\n\n
      41. H.-L. Huang, Y.-H. Chen, D. D. Koeberl, and S.-Y. Ho* <\/strong>(2007, Apr). Boosting Evolutionary Support Vector Machine for Designing Tumor Classifiers from Microarray Data. 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.<\/li>\n\n\n\n
      42. S.-J. Ho, W.-Y. Ku, J.-W. Jou, M.-H. Hung, and S.-Y. Ho*<\/strong> (2006, Apr). Intelligent Particle Swarm Optimization in Multi-objective Problems. The 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD).<\/li>\n\n\n\n
      43. S.-Y. Ho<\/strong>, C.-H. Hsieh, K.-W. Chen, H.-L. Huang, H.-M. Chen (2006, Apr). Scoring method for tumor prediction from microarray data using an evolutionary fuzzy classifier. The 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD).<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

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