Includes bibliographical references and index.

Current methods for protein secondary-structure prediction based on support vector machines / Hae-Jin Hu [and others] -- Comparison of seven methods for mining hidden links / Xiaohua Hu, Xiaodan Zhang, Xiaohua Zhou -- Voting scheme-based evolutionary kernel machines for drug activity comparisons / Bo Jin, Yan-Qing Zhang -- Bioinformatics analyses of Arabidopsis thaliana tiling array expression data / Trupti Joshi [and others] -- Identification of marker genes from high-dimensional microarray data for cancer classification / Jiexun Li, Hua Su, Hsinchun Chen -- Patient survival prediction from gene expression data / Huiqing Liu, Limsoon Wong, Ying Xu -- RNA interference and microRNA / Shibin Qiu, Terran Lane -- Protein structure prediction using string kernels / Huzefa Rangwala, Kevin DeRonne, George Karypis -- Public genomic databases : data representation, storage, and access / Andrew Robinson, Wenny Rahayu, David Taniar -- Automatic query expansion with keyphrases and POS phrase categorization for effective biomedical text mining / Min Song, Il-Yeol Song -- Evolutionary dynamics of protein-protein interactions / L.S. Swapna, B. Offmann, N. Srinivasan -- On comparing and visualizing RNA secondary structures / Jason T.L. Wang, Dongrong Wen, Jianghui Liu -- Integrative analysis of yeast protein translation networks / Daniel D. Wu, Xiaohua Hu -- Identification of transmembrane proteins using variants of the self-organizing feature map algorithm / Mary Qu Yang, Jack Y. Yang, Craig W. Codrington -- TriCluster : mining coherent clusters in three-dimensional microarray data / Lizhuang Zhao, Mohammed J. Zaki -- Clustering methods in a protein-protein interaction network / Chuan lin [and others].

The purpose of this edited book is to��bring together��the ideas and findings of data mining researchers and bioinformaticians by discussing cutting-edge��research topics��such as, gene expressions, protein/RNA structure prediction, phylogenetics, sequence and structural motifs, genomics and proteomics, gene findings, drug design, RNAi and microRNA analysis, text mining in bioinformatics, modelling of biochemical pathways, biomedical ontologies, system biology and pathways, and biological database management.

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