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-...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2007-01-01
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Series: | Cancer Informatics |
Online Access: | http://la-press.com/article.php?article_id=207 |