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.
Author(s): Lei M. Li (auth.), Henry Horng-Shing Lu, Bernhard Schölkopf, Hongyu Zhao (eds.)
Series: Springer Handbooks of Computational Statistics
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2011
Language: English
Pages: 630
Tags: Statistics, general; Biomedicine general; Computer Imaging, Vision, Pattern Recognition and Graphics
Front Matter....Pages i-ix
Front Matter....Pages 1-1
Accuracy Assessment of Consensus Sequence from Shotgun Sequencing....Pages 3-30
Statistical and Computational Studies on Alternative Splicing....Pages 31-53
Statistical Learning and Modeling of TF-DNA Binding....Pages 55-72
Computational Promoter Prediction in a Vertebrate Genome....Pages 73-85
Discovering Influential Variables: A General Computer Intensive Method for Common Genetic Disorders....Pages 87-107
STORMSeq: A Method for Ranking Regulatory Sequences by Integrating Experimental Datasets with Diverse Computational Predictions....Pages 109-134
Mixture Tree Construction and Its Applications....Pages 135-147
Front Matter....Pages 149-149
Experimental Designs and ANOVA for Microarray Data....Pages 151-169
The MicroArray Quality Control (MAQC) Project and Cross-Platform Analysis of Microarray Data....Pages 171-192
A Survey of Classification Techniques for Microarray Data Analysis....Pages 193-223
Statistical Analysis of Single Nucleotide Polymorphism Microarrays in Cancer Studies....Pages 225-255
Computational Analysis of ChIP-chip Data....Pages 257-282
eQTL Mapping for Functional Classes of Saccharomyces cerevisiae Genes with Multivariate Sparse Partial Least Squares Regression....Pages 283-298
Statistical Analysis of Time Course Microarray Data....Pages 299-313
Front Matter....Pages 315-315
Kernel Methods in Bioinformatics....Pages 317-334
Graph Classification Methods in Chemoinformatics....Pages 335-351
Hidden Markov Random Field Models for Network-Based Analysis of Genomic Data....Pages 353-368
Review of Weighted Gene Coexpression Network Analysis....Pages 369-388
Liquid Association and Related Ideas in Quantifying Changes in Correlation....Pages 389-404
Boolean Networks....Pages 405-425
Front Matter....Pages 315-315
Protein Interaction Networks: Protein Domain Interaction and Protein Function Prediction....Pages 427-459
Reverse Engineering of Gene Regulation Networks with an Application to the DREAM4 in silico Network Challenge....Pages 461-477
Inferring Signaling and Gene Regulatory Network from Genetic and Genomic Information....Pages 479-500
Computational Drug Target Pathway Discovery: A Bayesian Network Approach....Pages 501-532
Cancer Systems Biology....Pages 533-565
Comparative Genomics....Pages 567-600
Robust Control of Immune Systems Under Noises: Stochastic Game Approach....Pages 601-627
