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Tables of Contents for Computational and Statistical Approaches to Genomics
Chapter/Section Title
Page #
Page Count
Foreword
ix
Preface
xi
Microarray Image Analysis and Gene Expression Ratio Statistics
1
22
Statistical Considerations in the Assessment of cDNA Microarray Data Obtained Using Amplification
23
18
Sources of Variation in Microarray Experiments
41
12
Studentizing Microarray Data
53
12
Exploratory Clustering of Gene Expression Profiles of Mutated Yeast Strains
65
14
Selecting Informative Genes for Cancer Classification Using Gene Expression Data
79
14
Design Issues and Comparison of Methods for Microarray-Based Classification
93
20
Analyzing Protein Sequences using Signal Analysis Techniques
113
12
Statistics of the Numbers of Transcripts and Protein Sequences Encoded in the Genome
125
48
Normalized Maximum Likelihood Models for Boolean Regression Used for Prediction and Classification in Genomics
173
24
Inference of Genetic Regulatory Networks via Best-Fit Extensions
197
14
Regularization and Noise Injection for Improving Genetic Network Models
211
16
Parallel Computation and Visualization Tools for Codetermination Analysis of Multivariate Gene-Expression Relations
227
14
Human Glimo Diagnosis from Gene Expression Data
241
16
Application of DNA Microarray Technology to Clinical Biopsies of Breast Cancer
257
20
Alternative Splicing: Genetic Complexity in Cancer
277
22
Single-Nucleotide Polymorphisms, DNA Repair, and Cancer
299