GSMA: Gene Set Matrix Analysis, An Automated Method for Rapid Hypothesis Testing of Gene Expression Data
Background: Microarray technology has become highly valuable for identifying complex global changes in gene expression patterns. The assignment of functional information to these complex patterns remains a challenging task in effectively interpreting data and correlating results from across experime...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2007-01-01
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Series: | Bioinformatics and Biology Insights |
Online Access: | http://la-press.com/article.php?article_id=410 |