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Iterated Local Search for Biclustering of Microarray Data
This video was recorded at 5th IAPR International Conference on Pattern Recognition in Bioinformatics, Nijmegen 2010. In the context of microarray data analysis, biclustering aims to identify simultaneously a group of genes that are highly correlated across a group of experimental conditions. This paper presents a Biclustering Iterative Local Search (BILS) algorithm to the problem of biclustering of microarray data. The proposed algorithm is highlighted by the use of some original features including a new evaluation function, a dedicated neighborhood relation and a tailored perturbation strategy. The BILS algorithm is assessed on the well-known yeast cell-cycle dataset and compared with two most popular algorithms.
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This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
