Computational and statistical approaches to genomics

Microarray Image Analysis and Gene Expression Ratio Statistics....Pages 1-21
Statistical Considerations in the Assessment of cDNA Microarray Data Obtained Using Amplification....Pages 23-39
Sources of Variation in Microarray Experiments....Pages 41-51
Studentizing Microarray Data....Pages 53-64
Exploratory Clustering of Gene Expression Profiles of Mutated Yeast Strains....Pages 65-78
Selecting Informative Genes for Cancer Classification Using Gene Expression Data....Pages 79-91
Design Issues and Comparison of Methods for Microarray-Based Classification....Pages 93-111
Analyzing Protein Sequences Using Signal Analysis Techniques....Pages 113-124
Statistics of the Numbers of Transcripts and Protein Sequences Encoded in the Genome....Pages 125-171
Normalized Maximum Likelihood Models for Boolean Regression with Application to Prediction and Classification in Genomics....Pages 173-189
Inference of Genetic Regulatory Networks Via Best-Fit Extensions....Pages 197-210
Regularization and Noise Injection for Improving Genetic Network Models....Pages 211-226
Parallel Computation and Visualization Tools for Codetermination Analysis of Multivariate Gene Expression Relations....Pages 227-240
Human Glioma Diagnosis from Gene Expression Data....Pages 241-256
Application of DNA Microarray Technology to Clinical Biopsies of Breast Cancer....Pages 257-275
Alternative Splicing: Genetic Complexity in Cancer....Pages 277-297
Single-Nucleotide Polymorphisms, DNA Repair, and Cancer....Pages 299-323