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BAT: A New Biclustering Analysis Toolbox.

Authors :
Gallo, Cristian Andrés
Dussaut, Julieta Sol
Carballido, Jessica Andrea
Ponzoni, Ignacio
Source :
Advances in Bioinformatics & Computational Biology: 5th Brazilian Symposium on Bioinformatics, Bsb 2010, Rio de Janeiro, Brazil, August 31-september 3, 2010. Proceedings; 2010, p67-70, 4p
Publication Year :
2010

Abstract

In this paper, a new biclustering analysis toolbox called BAT, which is based on the BiHEA (Biclustering via a Hybrid Evolutionary Algorithm), is presented. The BiHEA is a memetic approach that integrates a Multi-Objective Evolutionary Algorithm (MOEA) with a local search technique in order to perform microarray biclustering. This method simultaneously considers several goals for optimization, giving as a result a set of biclusters that present a satisfactory trade-off between all of them. The novel software introduced in this article provides the possibility of running the BiHEA along with several pre-processing facilities for the input data and different visualization and statistical tools for the analysis of the biclusters. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783642150593
Database :
Complementary Index
Journal :
Advances in Bioinformatics & Computational Biology: 5th Brazilian Symposium on Bioinformatics, Bsb 2010, Rio de Janeiro, Brazil, August 31-september 3, 2010. Proceedings
Publication Type :
Book
Accession number :
76851286
Full Text :
https://doi.org/10.1007/978-3-642-15060-9_8