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Density based pruning for identification of differentially expressed genes from microarray data
MOTIVATION: Identification of differentially expressed genes from microarray datasets is one of the most important analyses for microarray data mining. Popular algorithms such as statistical t-test rank genes based on a single statistics. The false positive rate of these methods can be improved by c...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2010
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2975422/ https://ncbi.nlm.nih.gov/pubmed/21047384 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2164-11-S2-S3 |
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