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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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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
格式: Artigo
語言:Inglês
出版: SAGE Publishing 2007-01-01
叢編:Bioinformatics and Biology Insights
在線閱讀:https://doi.org/10.1177/117793220700100003
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