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BAT: A New Biclustering Analysis Toolbox.
- 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