INVESTIGADORES
CARBALLIDO Jessica Andrea
artículos
Título:
BAT: A New Biclustering Analysis Toolbox
Autor/es:
GALLO CRISTIAN; DUSSAUT JULIETA SOL; CARBALLIDO JESSICA ANDREA; PONZONI IGNACIO
Revista:
LECTURE NOTES IN COMPUTER SCIENCE
Editorial:
Springer-Verlag
Referencias:
Año: 2010 vol. 6268 p. 67 - 70
ISSN:
0302-9743
Resumen:
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.
