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» A factor model to analyze heterogeneity in gene expression
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BMCBI
2010
124views more  BMCBI 2010»
13 years 4 months ago
A factor model to analyze heterogeneity in gene expression
Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigu...
BMCBI
2006
170views more  BMCBI 2006»
13 years 4 months ago
Biclustering of gene expression data by non-smooth non-negative matrix factorization
Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
Pedro Carmona-Saez, Roberto D. Pascual-Marqui, Fra...
BMCBI
2007
207views more  BMCBI 2007»
13 years 4 months ago
Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
DATAMINE
2010
121views more  DATAMINE 2010»
12 years 11 months ago
Binary matrix factorization for analyzing gene expression data
Zhongyuan Zhang, Tao Li, Chris H. Q. Ding, Xian-We...
BMCBI
2005
97views more  BMCBI 2005»
13 years 4 months ago
Modelling the correlation between the activities of adjacent genes in drosophila
Background: Correlation between the expression levels of genes which are located close to each other on the genome has been found in various organisms, including yeast, drosophila...
Helene H. Thygesen, Aeilko H. Zwinderman