Handbook of Statistical Bioinformatics (Hardcover)

From the content: I: Accuracy Assessment of Consensus Sequence from Shotgun Sequencing - Statistical and Computational Studies on Alternative Splicing - Using Sequence Information to Predict TF-DNA Binding - Computational Promoter Prediction in a Vertebrate Genome - Discovering Influential Variables: A General Computer Intensive Method for Common Genetic Disorders - STORMSeq: A Method for Ranking Regulatory Sequences by Integrating Experimental Datasets with Diverse Computational Predictions - Mixture Tree Construction and Its Applications II: Experimental Designs and ANOVA for Microarray Data - MAQC and Cross Platform Analysis of Microarray Data - A Survey of Classification Techniques for Microarray Analysis - Statistical Analysis of Single Nucleotide Polymorphism Microarrays in Cancer Studies - Computational Analysis of ChIP-chip Data - eQTL Mapping for Functional Classes of Saccharomyces Cerevisiae Genes with Multivariate Sparse Partial Least Squares Regression - Analysis of Time Course Data III: Kernel Methods in Bioinformatics - Graph Classification Methods in Chemoinformatics - Hidden Markov Random Field Models for Network-based Analysis of Genomic Data - Review of Weighted Gene Coexpression Network Analysis - Liquid Association - Boolean Networks - Protein Interaction Networks: Protein Domain Interaction and Protein Function Prediction - Regulatory Networks - Inferring Signaling and Gene Regulatory Network from Genetic and Genomic Information - Computational Drug Target Pathway Discovery: A Bayesian Network Approach - Cancer Systems Biology - Comparative Genomics and Molecular Evolution - Robust Control of Immune Systems under Noises: Stochastic Game Approach