Methods of Microarray Data Analysis II Papers from CAMDAỚ" 01 /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Lin, Simon M. (Editor), Johnson, Kimberly F. (Editor)
• Format: Electronic
• Language: English
• Published: Boston, MA : Springer US, 2002.
• Subjects: Life sciences.; Human genetics.; Biochemistry.; Statistics.; Life Sciences.; Biochemistry, general.; Human Genetics.; Statistics for Life Sciences, Medicine, Health Sciences.
• Online Access: View fulltext via EzAccess

Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray...

Table of Contents:

• An Introduction to DNA Microarrays
• Experimental Design for Gene Microarray Experiments and Differential Expression Analysis
• Microarray Data Processing and Analysis
• Biology-driven Clustering of Microarray Data
• Extracting Global Structure from Gene Expression Profiles
• Supervised Neural Networks for Clustering Conditions in DNA Array Data After Reducing Noise by Clustering Gene Expression Profiles
• Bayesian Decomposition Analysis of Gene Expression in Yeast Deletion Mutants
• Using Functional Genomic Units to Corroborate User Experiments with the Rosetta Compendium
• Fishing Expedition - a Supervised Approach to Extract Patterns from a Compendium of Expression Profiles
• Modeling Pharmacogenomics of the NCI-60 Anticancer Data Set: Utilizing Kernel Pls to Correlate the Microarray Data to Therapeutic Responses
• Analysis of Gene Expression Profiles and Drug Activity Patterns by Clustering and Bayesian Network Learning
• Evaluation of Current Methods of Testing Differential Gene expression and Beyond
• Extracting Knowledge from Genomic Experiments by Incorporating the Biomedical Literature.