BiBit is a novel approach to extracting biclusters from binary datasets. The results obtained from different experiments with synthetic data reveal the excellent performance and the robustness of BiBit to density and size of input data. Also, BiBit is applied to a central nervous system embryonic tumor gene expression dataset to test the quality of the results. A novel gene expression preprocessing methodology, based on expression level layers, and the selective search performed by BiBit, based on a very fast bit-pattern processing technique, provide very satisfactory results in quality and computational cost.
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Bioinformatics. 2011 Oct 1;27(19):2738-45. Epub 2011 Aug 8.
A biclustering algorithm for extracting bit-patterns from binary datasets.
Rodriguez-Baena DS, Perez-Pulido AJ, Aguilar-Ruiz JS.