The purpose of this edited book is toย bring togetherย the ideas and findings of data mining researchers and bioinformaticians by discussing cutting-edgeย research topicsย 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.Content:
Chapter 1 Current Methods for Protein Secondary?Structure Prediction Based on Support Vector Machines (pages 1โ26): Hae?Jin Hu, Robert W. Harrison, Phang C. Tai and Yi Pan
Chapter 2 Comparison of Seven Methods for Mining Hidden Links (pages 27โ44): Xiaohua Hu, Xiaodan Zhang and Xiaohua Zhou
Chapter 3 Voting SchemeโBased Evolutionary Kernel Machines for Drug Activity Comparisons (pages 45โ56): Bo Jin and Yan?Qing Zhang
Chapter 4 Bioinformatics Analyses of Arabidopsis thaliana Tiling Array Expression Data (pages 57โ70): Trupti Joshi, Jinrong Wan, Curtis J. Palm, Kara Juneau, Ron Davis, Audrey Southwick, Katrina M. Ramonell, Gary Stacey and Dong Xu
Chapter 5 Identification of Marker Genes from High?Dimensional Microarray Data for Cancer Classification (pages 71โ87): Jiexun Li, Hua Su and Hsinchun Chen
Chapter 6 Patient Survival Prediction from Gene Expression Data (pages 89โ111): Huiqing Liu, Limsoon Wong and Ying Xu
Chapter 7 RNA Interference and microRNA (pages 113โ144): Shibin Qiu and Terran Lane
Chapter 8 Protein Structure Prediction using String Kernels (pages 145โ168): Huzefa Rangwala, Kevin DeRonne and George Karypis
Chapter 9 Public Genomic Databases: Data Representation, Storage, and Access (pages 169โ195): Andrew Robinson, Wenny Rahayu and David Taniar
Chapter 10 Automatic Query Expansion with Keyphrases and POS Phrase Categorization for Effective Biomedical Text Mining (pages 197โ207): Min Song and Il?Yeol Song
Chapter 11 Evolutionary Dynamics of ProteinโProtein Interactions (pages 209โ231): L. S. Swapna, B. Offmann and N. Srinivasan
Chapter 12 On Comparing and Visualizing RNA Secondary Structures (pages 233โ249): Jason T. L. Wang, Dongrong Wen and Jianghui Liu
Chapter 13 Integrative Analysis of Yeast Protein Translation Networks (pages 251โ266): Daniel D. Wu and Xiaohua Hu
Chapter 14 Identification of Transmembrane Proteins Using Variants of the Self?Organizing Feature Map Algorithm (pages 267โ293): Mary Qu Yang, Jack Y. Yang and Craig W. Codrington
Chapter 15 TriCluster: Mining Coherent Clusters in Three?Dimensional Microarray Data (pages 295โ317): Lizhuang Zhao and Mohammed J. Zaki
Chapter 16 Clustering Methods in a ProteinโProtein Interaction Network (pages 319โ355): Chuan Lin, Young?Rae Cho, Woo?Chang Hwang, Pengjun Pei and Aidong Zhang