QUBIC: a qualitative biclustering algorithm for analyses of gene expression data.

ABSTRACT: Biclustering extends the traditional clustering techniques by attempting to find (all) subgroups of genes with similar expression patterns under to-be-identified subsets of experimental conditions when applied to gene expression data. Still the real power of this clustering strategy is yet to be fully realized due to the lack of effective and efficient algorithms for reliably solving the general biclustering problem. We report a QUalitative BIClustering algorithm (QUBIC) that can solve the biclustering problem in a more general form, compared to existing algorithms, through employing a combination of qualitative (or semi-quantitative) measures of gene expression data and a combinatorial optimization technique. One key unique feature of the QUBIC algorithm is that it can identify all statis

SUBMITTER: Li G 

PROVIDER: S-EPMC2731891 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature