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Wei Zhang and Ilya Shmulevich
i-ix
Front matter
1-19
Microarray Image Analysis and Gene Expression Ratio Statistics
21-36
Statistical Considerations in the Assessment of cDNA Microarray Data Obtained Using Amplification
37-47
Sources of Variation in Microarray Experiments Experimental design and the analysis of variance for microarrays
49-59
Studentizing Microarray Data
61-74
Exploratory Clustering of Gene Expression Profiles of Mutated Yeast Strains
75-88
Selecting Informative Genes for Cancer Classification Using Gene Expression Data
89-118
Finding Functional Structures in Ggioma Gene-Expressions Using Gene Shaving Clustering and MDL Principle
119-136
Design Issues and Comparison of Methods for Microarray-Based Classification
137-161
Analyzing Protein Sequences Using Signal Analysis Techniques
163-208
Scale-Dependent Statistics of the Numbers of Transcripts and Protein Sequences Encoded in the Genome
209-233
Statistical Methods in Serial Analysis of Gene Expression (Sage)
235-258
Normalized Maximum Likelihood Models for Boolean Regression with Application to Prediction and Classification in Genomics
259-278
Inference of Genetic Regulatory Networks via Best-Fit Extensions
279-295
Regularization and Noise Injection for Improving Genetic Network Models
297-310
Parallel Computation and Visualization Tools for Codetermination Analysis of Multivariate Gene Expression Relations
311-349
Single Nucleotide Polymorphisms and Their Applications
351-380
The Contribution of Alternative Transcription and Alternative Splicing to the Complexity of Mammalian Transcriptomes
381-403
Computational Imaging, and Statistical Analysis of Tissue Microarrays: Quantitative Automated Analysis of Tissue Microarrays
405-416
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