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Biclustering of gene expression data by non-smooth non-negative matrix factorization |
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| Authors: | Pedro Carmona-Saez Roberto D Pascual-Marqui F Tirado Jose M Carazo and Alberto Pascual-Montano |
| Institution: | (1) BioComputing Unit, National Center of Biotechnology, Campus Universidad Aut?noma de Madrid, 28049, Spain;(2) The KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, Lenggstr. 31, CH-8029 Zurich, Switzerland;(3) Computer Architecture Department, Facultad de Ciencias F?sicas. Universidad Complutense de Madrid, 28040, Spain |
| Abstract: | BackgroundThe extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of genes across tens or hundreds of different experimental conditions. One of the major challenges in the analysis of such datasets is to discover local structures composed by sets of genes that show coherent expression patterns across subsets of experimental conditions. These patterns may provide clues about the main biological processes associated to different physiological states. |
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