YANG-MING INSTITUTE OF BIOMEDICAL INFORMATICS
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  • 研究主題 (Research Topics):
    • 分泌性蛋白質 (Secreted Proteins)
    • 癌症標記尋找 (Cancer Marker Discovery)
    • 生物資訊演算法 (Bioinformatics Algorithms)
    • 神經細胞分群與分類 (Neuronal Clustering & Classification )
    • 生醫文獻與資料分析 (Biomedical Literature and Data Analysis)
  • 研究方法 (Research Methodology):
    • 人工智慧(Artificial Intelligence)
    • 資料探勘 (Data Mining)
    • 數據分析 (Data Analysis)
    • 自然語言處理 (Natural Language Processing)
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  • Journal Papers
    • W.T. Lin, W.N. Hung, Y.H. Yian,K.P. Wu*, C.L. Han, Y.R. Chen, Y.J. Chen, T.Y. Sung* and W.L. Hsu “Multi-Q: a Fully Automated Tool for Multiplexed Protein Quantitation,” Journal of Proteome Research 2006, 5(9), 2328 -2338. (SCI/6.901)
    • K.P. Wu, J.M. Chang, J.B. Chen, C.F. Chang, W.J. Wu, T.H. Huang, T.Y. Sung and W.L. Hsu “RIBRA–An Error-Tolerant Algorithm for the NMR Backbone Assignment Problem,” Journal of Computational Biology 2006, 13(2), 229-244. (SCI/3.241)
    • H.N. Lin, K.P. Wu, J.M. Chang, T.Y. Sung and W.L. Hsu “GANA–A Genetic Algorithm for NMR Backbone Resonance Assignment,” Nucleic Acids Research 2005, 33(14), 4593-4601. (SCI/7.260)
    • H.N. Lin, J.M. Chang, K.P. Wu, T.Y. Sung and W.L. Hsu “A Knowledge-based Hybrid Method for Protein Secondary Structure Prediction Based on Local Prediction Confidence,” Bioinformatics 2005, 21(15), 3227-3233. (SCI/5.742)
    • K.P. Wu, H.N. Lin, J.M. Chang, T.Y. Sung and W.L. Hsu “HYPROSP: a Hybrid Protein Secondary Structure Prediction Algorithm–a Knowledge-based Approach,” Nucleic Acids Research 2004, 32(17), 5059-5065. (SCI/7.260)
  • Conference Papers
    • C.T. Chen, H.N. Lin, K.P. Wu, T.Y. Sung and W.L. Hsu “A Knowledge-based Approach to Protein Local Structure Prediction,” the Fourth Asia Pacific Bioinformatics Conference (APBC 2006), 257-266. Acceptance rate, 30% (35/118).
    • K.P. Wu, J.M. Chang, J.B. Chen, C.F. Chang, W.J. Wu, T.H. Huang, T.Y. Sung and W.L. Hsu “RIBRA–An Error-Tolerant Algorithm for the NMR Backbone Assignment Problem,” the Ninth Annual International Conference on Research in Computational Molecular Biology (RECOMB 2005). Lecture Notes in Computer Science 3500, 103-117. Acceptance rate, 18% (39/217).
    • Y.F. Lin, T.H. Tsai, W.C. Chou, K.P. Wu, T.Y. Sung and W.L. Hsu “A Maximum Entropy Approach to Biomedical Named Entity Recognition,” Proceedings of the 4th ACM SIGKDD Workshop on Data Mining in Bioinformatics (BioKDD 2004), 56-61.
    • K.P. Wu, H.N. Lin, T.Y. Sung and W.L. Hsu “A New Similarity Measure among Protein Sequences,” Proceedings of 2nd IEEE Computational Systems Bioinformatics (CSB 2003), 347-352. Acceptance rate, 19% (27/138)
    • K.P. Wu, H.N. Lin, T.Y. Sung and W.L. Hsu “An Efficient Method to Find Protein Sequence Patterns and Its Applications,” Proceedings of the 20th Workshop on Combinatorial Mathematics and Computation Theory, 45-51, 2003.
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