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- Title
Mixture modelling of gene expression data from microarray experiments.
- Authors
Ghosh, Debashis; Chinnaiyan, Arul M
- Abstract
Hierarchical clustering is one of the major analytical tools for gene expression data from microarray experiments. A major problem in the interpretation of the output from these procedures is assessing the reliability of the clustering results. We address this issue by developing a mixture model-based approach for the analysis of microarray data. Within this framework, we present novel algorithms for clustering genes and samples. One of the byproducts of our method is a probabilistic measure for the number of true clusters in the data.
- Publication
Bioinformatics (Oxford, England), 2002, Vol 18, Issue 2, p275
- ISSN
1367-4803
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/18.2.275