Application of Gene Shaving and Mixture Models to Cluster Microarray Gene Expression Data
Researchers are frequently faced with the analysis of microarray data of a relatively large number of genes using a small number of tissue samples. We examine the application of two statistical methods for clustering such microarray expression data: EMMIX-GENE and GeneClust. EMMIX-GENE is a mixture-...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
SAGE Publishing
2007-01-01
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| Schriftenreihe: | Cancer Informatics |
| Online-Zugang: | https://doi.org/10.1177/117693510700500002 |
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