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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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| Hlavní autoři: | , , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
SAGE Publishing
2007-01-01
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| Edice: | Bioinformatics and Biology Insights |
| On-line přístup: | https://doi.org/10.1177/117793220700100003 |
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