Methods of microarray data analysis II : papers from CAMDA '01 /
| Uniform Title: | Methods of microarray data analysis II (Print) |
|---|---|
| Other Authors: | , |
| Format: | Book |
| Language: | English |
| Published: |
Boston, Mass. :
Kluwer Academic,
[2002]
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| Subjects: |
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