Extracting and validating biclusters from binary datasets

Authors:
Domingo S. Rodriguez-Baena
Affiliations:
School of Engineering, Pablo de Olavide University, Seville, Spain. E-mail: dsrodbae@upo.es
Venue:
AI Communications
Year:
2013

Citing 3
Cited 0

A systematic comparison and evaluation of biclustering methods for gene expression data

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CarGene: Characterisation of sets of genes based on metabolic pathways analysis

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A biclustering algorithm for extracting bit-patterns from binary datasets

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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.