Computational and Statistical Approaches to Genomics - Zhang, Wei.; Shmulevich, Ilya.; SpringerLink (Online service) (New York, NY : Springer US : Imprint: Springer, 2006)
Microarray Image Analysis and Gene Expression Ratio Statistics -- Statistical Considerations in the Assessment of cDNA Microarray Data Obtained Using Amplification -- Sources of Variation in Microarray Experiments -- Studentizing Microarray Data -- Exploratory Clustering of Gene Expression Profiles of Mutated Yeast Strains -- Selecting Informative Genes for Cancer Classification Using Gene Expression Data -- Finding Functional Structures in Ggioma Gene-Expressions Using Gene Shaving Clustering and MDL Principle -- Design Issues and Comparison of Methods for Microarray-Based Classification -- Analyzing Protein Sequences Using Signal Analysis Techniques -- Scale-Dependent Statistics of the Numbers of Transcripts and Protein Sequences Encoded in the Genome -- Statistical Methods in Serial Analysis of Gene Expression (Sage) -- Normalized Maximum Likelihood Models for Boolean Regression with Application to Prediction and Classification in Genomics -- Inference of Genetic Regulatory Networks via Best-Fit Extensions -- Regularization and Noise Injection for Improving Genetic Network Models -- Parallel Computation and Visualization Tools for Codetermination Analysis of Multivariate Gene Expression Relations -- Single Nucleotide Polymorphisms and Their Applications -- The Contribution of Alternative Transcription and Alternative Splicing to the Complexity of Mammalian Transcriptomes -- Computational Imaging, and Statistical Analysis of Tissue Microarrays: Quantitative Automated Analysis of Tissue Microarrays.
Keywords: Biochemistry; Cancer research; Biotechnology; Computer science; Optical data processing; Pattern recognition; Biochemistry, general; Cancer Research; Biotechnology; Computer Science, general; Image Processing and Computer Vision; Pattern Recognition