Handbook of Statistical Bioinformatics

by Lu, Henry Horng-shing; Scholkopf, Bernhard; Zhao, Hongyu

• ISBN13: 9783642163449
• ISBN10: 3642163440
• Format: Hardcover
• Copyright: 2011-05-20
• Publisher: Springer Verlag

Summary

Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. This volume collects contributed chapters from leading researchers to survey the many active research topics and promote the visibility of this research area. This volume is intended to provide an introductory and reference book for students and researchers who are interested in the recent developments of computational statistics in computational biology.

Table of Contents

Sequence Analysis
Accuracy Assessment of Consensus Sequence from Shotgun Sequencing	p. 3
Statistical and Computational Studies on Alternative Splicing	p. 31
Statistical Learning and Modeling of TF-DNA Binding	p. 55
Computational Promoter Prediction in a Vertebrate Genome	p. 73
Discovering Influential Variables: A General Computer Intensive Method for Common Genetic Disorders	p. 87
STORMSeq: A Method for Ranking Regulatory Sequences by Integrating Experimental Datasets with Diverse Computational Predictions	p. 109
Mixture Tree Construction and Its Applications	p. 135
Expression Data Analysis
Experimental Designs and ANOVA for Microarray Data	p. 151
The Micro Array Quality Control (MAQC) Project and Cross-Platform Analysis of Microarray Data	p. 171
A Survey of Classification Techniques for Microarray Data Analysis	p. 193
Statistical Analysis of Single Nucleotide Polymorphism Microarrays in Cancer Studies	p. 225
Computational Analysis of ChIP-chip Data	p. 257
eQTL Mapping for Functional Classes of Saccharomyces cerevisiae Genes with Multivariate Sparse Partial Least Squares Regression	p. 283
Statistical Analysis of Time Course Microarray Data	p. 299
Systems Biology
Kernel Methods in Bioinformatics	p. 317
Graph Classification Methods in Chemoinformatics	p. 335
Hidden Markov Random Field Models for Network-Based Analysis of Genomic Data	p. 353
Review of Weighted Gene Coexpression Network Analysis	p. 369
Liquid Association and Related Ideas in Quantifying Changes in Correlation	p. 389
Boolean Networks	p. 405
Protein Interaction Networks: Protein Domain Interaction and Protein Function Prediction	p. 427
Reverse Engineering of Gene Regulation Networks with an Application to the DREAM4 in silico Network Challenge	p. 461
Inferring Signaling and Gene Regulatory Network from Genetic and Genomic Information	p. 479
Computational Drug Target Pathway Discovery: A Bayesian Network Approach	p. 501
Cancer Systems Biology	p. 533
Comparative Genomics	p. 567
Robust Control of Immune Systems Under Noises: Stochastic Game Approach	p. 601
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