Microarray data analysis: methods and applications/

Microarray data analysis: methods and applications/ edited by Korenberg, Michael J. - 1st ed. - New Jersey: Humana Press, 2007. - xiii, 273p. : ill. ; 24 cm.

Chapter 1 Microarray Data Analysis: An Overview of Design, Methodology and Analysis
Chapter 2 Genomic Signal Processing: From Matrix Algebra to Genetic Networks
Chapter 3 Online Analysis of Microarray Data Using Artificial Neural Networks
Chapter 4 Signal Processing and the Design of Microarray Time Series Experiments
Chapter 5 Predictive Models of Gene Regulation: Application of Regression Methods to Microarray Data
Chapter 6 Statistical Framework for Gene Expression Data Analysis
Chapter 7 Gene Expression Profiles and Prognostic Markers for Primary Breast Cancer
Chapter 8 Comparing microarray studies
Chapter 9 A Pitfall in Series of Microarrays: The Position of Probes Affects the Cross Correlation of Gene Expression Profiles
Chapter 10 In Depth Query of Large Genomes using Tiling Arrays
Chapter 11 Analysis of Comparative Genomic Hybridization Data on cDNA Microarrays
Chapter 12 Integrated high-resolution genome-wide analysis of gene dosage and gene expression in human brain tumors
Chapter 13 Progression-Associated Genes in Astrocytoma Identified by Novel Microarray Gene Expression Data Reanalysis
Chapter 14 Interpreting Microarray Results with Gene Ontology and MeSH
Chapter 15 Incorporation of Gene Ontology Annotations to Enhance Microarray Data Analysis
Chapter 16 Predicting Survival in Follicular Lymphoma using Tissue Microarrays

9781588295408


DNA Microarrays
Gene Expression

574.88 / KOR/K
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