Knowledge Discovery in Bioinformatics Techniques, Methods, and Applications

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ISBN: 9780471777960 | 047177796X
Cover: Hardcover
Copyright: 6/22/2007

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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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Current methods for protein secondary-structure prediction based on support vector machines	p. 1
Comparison of seven methods for mining hidden links	p. 27
Voting scheme-based evolutionary kernel machines for drug activity comparisons	p. 45
Bioinformatics analyses of Arabidopsis thaliana tiling array expression data	p. 57
Identification of marker genes from high-dimensional microarray data for cancer classification	p. 71
Patient survival prediction from gene expression data	p. 89
RNA interference and microRNA	p. 113
Protein structure prediction using string kernels	p. 145
Public genomic databases : data representation, storage, and access	p. 169
Automatic query expansion with keyphrases and POS phrase categorization for effective biomedical text mining	p. 197
Evolutionary dynamics of protein-protein interactions	p. 209
On comparing and visualizing RNA secondary structures	p. 233
Integrative analysis of yeast protein translation networks	p. 251
Identification of transmembrane proteins using variants of the self-organizing feature map algorithm	p. 267
TriCluster : mining coherent clusters in three-dimensional microarray data	p. 295
Clustering methods in a protein-protein interaction network	p. 319
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Knowledge Discovery in Bioinformatics Techniques, Methods, and Applications

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