Microarray Data Analysis Methods and Applications

In this new volume, renowned authors contribute fascinating, cutting-edge insights into microarray data analysis. Included in this innovative book includes are in-depth looks intopresentations of genomic signal processing, artificial neural network use for microarray data analysis, signal processing...

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Bibliographic Details
Other Authors: Korenberg, Michael J. (Editor)
Format: eBook
Language:English
Published: Totowa, NJ Humana 2007, 2007
Edition:1st ed. 2007
Series:Methods in Molecular Biology
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Microarray Data Analysis
  • Genomic Signal Processing: From Matrix Algebra to Genetic Networks
  • Online Analysis of Microarray Data Using Artificial Neural Networks
  • Signal Processing and the Design of Microarray Time-Series Experiments
  • Predictive Models of Gene Regulation
  • Statistical Framework for Gene Expression Data Analysis
  • Gene Expression Profiles and Prognostic Markers for Primary Breast Cancer
  • Comparing Microarray Studies
  • A Pitfall in Series of Microarrays
  • In-Depth Query of Large Genomes Using Tiling Arrays
  • Analysis of Comparative Genomic Hybridization Data on cDNA Microarrays
  • Integrated High-Resolution Genome-Wide Analysis of Gene Dosage and Gene Expression in Human Brain Tumors
  • Progression-Associated Genes in Astrocytoma Identified by Novel Microarray Gene Expression Data Reanalysis
  • Interpreting Microarray Results With Gene Ontology and MeSH
  • Incorporation of Gene Ontology Annotations to Enhance Microarray Data Analysis
  • Predicting Survival in Follicular Lymphoma Using Tissue Microarrays