Extracting and validating biclusters from binary datasets

Article type: Other

Authors: Rodriguez-Baena, Domingo S.

Affiliations: School of Engineering, Pablo de Olavide University, Seville, Spain. E-mail: dsrodbae@upo.es

Abstract: This work proposes a novel algorithm to extract biclusters from binary datasets: the Bit-Pattern Biclustering Algorithm (BiBit). The selective search performed by BiBit, based on a very fast bits words processing technique, provides very satisfactory results in quality and computational cost. Besides, a new software tool, named CarGene (Characterization of Genes), that helps scientists to validate sets of genes using biological knowledge is introduced too.

Keywords: Binary dataset, biclustering, biological validation

DOI: 10.3233/AIC-130570

Journal: AI Communications, vol. 26, no. 4, pp. 417-418, 2013