InhaltsangabeContributors. Preface. 1 Current Methods for Protein Secondary-Structure Prediction Based on Support Vector Machines (Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, and Yi Pan). 2 Comparison of Seven Methods for Mining Hidden Links (Xiaohua Hu, Xiaodan Zhang, and Xiaohua Zhou). 3 Voting Scheme-Based Evolutionary Kernel Machines for Drug Activity Comparisons (Bo Jin and Yan-Qing Zhang). 4 Bioinformatics Analyses of Arabidopsis thaliana Tiling Array Expression Data (Trupti Joshi, Jinrong Wan, Curtis J. Palm, Kara Juneau, Ron Davis, Audrey Southwick, Katrina M. Ramonell, Gary Stacey, and Dong Xu). 5 Identification of Marker Genes from High-Dimensional Microarray Data for Cancer Classification (Jiexun Li, Hua Su, and Hsinchun Chen). 6 Patient Survival Prediction from Gene Expression Data (Huiqing Liu, Limsoon Wong, and Ying Xu). 7 RNA Interference and microRNA (Shibin Qiu and Terran Lane). 8 Protein Structure Prediction Using String Kernels (Huzefa Rangwala, Kevin DeRonne, and George Karypis). 9 Public Genomic Databases: Data Representation, Storage, and Access (Andrew Robinson, Wenny Rahayu, and David Taniar). 10 Automatic Query Expansion with Keyphrases and POS Phrase Categorization for Effective Biomedical Text Mining (Min Song and Il-Yeol Song). 11 Evolutionary Dynamics of Protein-Protein Interactions (L. S. Swapna, B. Offmann, and N. Srinivasan). 12 On Comparing and Visualizing RNA Secondary Structures (Jason T. L. Wang, Dongrong Wen, and Jianghui Liu). 13 Integrative Analysis of Yeast Protein Translation Networks (Daniel D. Wu and Xiaohua Hu). 14 Identification of Transmembrane Proteins Using Variants of the Self-Organizing Feature Map Algorithm (Mary Qu Yang, Jack Y. Yang, and Craig W. Codrington). 15 TRICLUSTER: Mining Coherent Clusters in Three-Dimensional Microarray Data (Lizhuang Zhao and Mohammed J. Zaki). 16 Clustering Methods in a Protein-Protein Interaction Network (Chuan Lin, Young-Rae Cho, Woo-Chang Hwang, Pengjun Pei, and Aidong Zhang). References. Index.

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Xiaohua Hu, PhD, is Assistant Professor of Computer Science in the College of Information Science and Technology at Drexel University. His research has been published in such journals as IEEE Computer, Knowledge and Information Systems, Journal of Intelligent Systems, and the International Journal of Applied Intelligence. Yi Pan, PhD, is Chair and Professor of Computer Science at Georgia State University. His pioneering work in computing using reconfigurable optical buses has been cited by researchers around the world. Dr. Pan is co-holder of three United States patents (pending) and five provisional patents.

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