Cover image for Knowledge discovery in bioinformatics : techniques, methods, and applications
Knowledge discovery in bioinformatics : techniques, methods, and applications
Title:
Knowledge discovery in bioinformatics : techniques, methods, and applications
Author:
Hu, Xiaohua, 1960- editor.
ISBN:
9780471777960
Physical Description:
xxi, 363 pages : illustrations ; 25 cm.
Series:
Wiley series on bioinformatics
Contents:
Current methods for protein secondary-structure prediction based on support vector machines / Hae-Jin Hu ... [et al.] -- 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 ... [et al.] -- 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 ... [et al.].
Abstract:
The purpose of this text is to bring together the ideas and findings of data mining researchers and bioinformaticians by discussing cutting-edge research topics including gene expressions, phylogenetics, structural and sequence motifs and biomedical ontologies.
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