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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 experimen...

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Bibliographic Details
Main Authors: Chris Cheadle Ph.D., CCR/NCI/NIH, Tonya Watkins, Jinshui Fan, Marc A. Williams, Steven Georas, John Hall, Antony Rosen, Kathleen C. Barnes
Format: Artigo
Language:Inglês
Published: SAGE Publishing 2007-01-01
Series:Bioinformatics and Biology Insights
Online Access:https://doi.org/10.1177/117793220700100003
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