RAP (Range-support Association Pattern) is an novel approach based on association pattern analysis for discovering constant-row biclusters in gene expression data. Contrary to traditional association pattern discovery approaches, RAP works with real valued data sets without discritizing them. RAP discovers small highly coherent biclusters as opposed to large blocks discovered by traditional biclustering approaches.
Data mining for biomedical informatics at the UMN
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