000			00369nam a2200133Ia 4500
999			_c146510 _d146510
020			_a9781588295408
040			_cCUS
082			_a574.88 _bKOR/K
245		0	_aMicroarray data analysis: methods and applications/ _cedited by Korenberg, Michael J.
250			_a1st ed.
260			_aNew Jersey: _bHumana Press, _c2007.
300			_axiii, 273p. : _bill. ; _c24 cm.
505			_aChapter 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
650			_aDNA Microarrays
650			_aGene Expression
700			_aedited by Korenberg, Michael J.
942			_cSC79