Knowledge Discovery In Bioinformatics Techniques Methods And Applications Xiaohua Hu by Xiaohua Hu, Yi Pan 9780470124642, 9780471777960, 0470124644, 047177796X instant download after payment.

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.Content:
Chapter 1 Current Methods for Protein Secondary?Structure Prediction Based on Support Vector Machines (pages 1–26): Hae?Jin Hu, Robert W. Harrison, Phang C. Tai and Yi Pan
Chapter 2 Comparison of Seven Methods for Mining Hidden Links (pages 27–44): Xiaohua Hu, Xiaodan Zhang and Xiaohua Zhou
Chapter 3 Voting Scheme–Based Evolutionary Kernel Machines for Drug Activity Comparisons (pages 45–56): Bo Jin and Yan?Qing Zhang
Chapter 4 Bioinformatics Analyses of Arabidopsis thaliana Tiling Array Expression Data (pages 57–70): 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 71–87): Jiexun Li, Hua Su and Hsinchun Chen
Chapter 6 Patient Survival Prediction from Gene Expression Data (pages 89–111): Huiqing Liu, Limsoon Wong and Ying Xu
Chapter 7 RNA Interference and microRNA (pages 113–144): Shibin Qiu and Terran Lane
Chapter 8 Protein Structure Prediction using String Kernels (pages 145–168): Huzefa Rangwala, Kevin DeRonne and George Karypis
Chapter 9 Public Genomic Databases: Data Representation, Storage, and Access (pages 169–195): Andrew Robinson, Wenny Rahayu and David Taniar
Chapter 10 Automatic Query Expansion with Keyphrases and POS Phrase Categorization for Effective Biomedical Text Mining (pages 197–207): Min Song and Il?Yeol Song
Chapter 11 Evolutionary Dynamics of Protein–Protein Interactions (pages 209–231): L. S. Swapna, B. Offmann and N. Srinivasan
Chapter 12 On Comparing and Visualizing RNA Secondary Structures (pages 233–249): Jason T. L. Wang, Dongrong Wen and Jianghui Liu
Chapter 13 Integrative Analysis of Yeast Protein Translation Networks (pages 251–266): Daniel D. Wu and Xiaohua Hu
Chapter 14 Identification of Transmembrane Proteins Using Variants of the Self?Organizing Feature Map Algorithm (pages 267–293): Mary Qu Yang, Jack Y. Yang and Craig W. Codrington
Chapter 15 TriCluster: Mining Coherent Clusters in Three?Dimensional Microarray Data (pages 295–317): Lizhuang Zhao and Mohammed J. Zaki
Chapter 16 Clustering Methods in a Protein–Protein Interaction Network (pages 319–355): Chuan Lin, Young?Rae Cho, Woo?Chang Hwang, Pengjun Pei and Aidong Zhang