Microarrays have become a standard tool for studying gene functions. For example, we can investigate if a subset of genes shows a coherent expression pattern under different conditions. The plaid model, a model-based biclustering method, can be used to incorporate the addiction structure used for the microarray experiment. In this paper we describe an enhancement for the plaid model algorithm based on the theory of the false discovery rate.
Mineo, A.M., Augugliaro, L. (2008). An enhancement of the plaid model algorithm. In 1st Joint Meeting of the Societe Francophone de Classification and the CLAssification and Data Analysis Group of the Italian Statistical Society: book of short papers (pp.87-90). Napoli : Edizioni Scientifiche Italiane.
An enhancement of the plaid model algorithm
MINEO, Angelo;AUGUGLIARO, Luigi
2008-01-01
Abstract
Microarrays have become a standard tool for studying gene functions. For example, we can investigate if a subset of genes shows a coherent expression pattern under different conditions. The plaid model, a model-based biclustering method, can be used to incorporate the addiction structure used for the microarray experiment. In this paper we describe an enhancement for the plaid model algorithm based on the theory of the false discovery rate.
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