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» Detecting multivariate differentially expressed genes
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CSDA
2007
151views more  CSDA 2007»
13 years 7 months ago
Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as tre...
Marco Alfò, Alessio Farcomeni, Luca Tardell...
IJNS
2006
37views more  IJNS 2006»
13 years 7 months ago
Mixture Models for Detecting Differentially Expressed Genes in Microarrays
Liat Ben-Tovim Jones, Richard Bean, Geoffrey J. Mc...
BMCBI
2010
106views more  BMCBI 2010»
13 years 7 months ago
A computational evaluation of over-representation of regulatory motifs in the promoter regions of differentially expressed genes
Background: Observed co-expression of a group of genes is frequently attributed to co-regulation by shared transcription factors. This assumption has led to the hypothesis that pr...
Guofeng Meng, Axel Mosig, Martin Vingron
BMCBI
2008
126views more  BMCBI 2008»
13 years 7 months ago
Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution
Background: In gene expression analysis, statistical tests for differential gene expression provide lists of candidate genes having, individually, a sufficiently low p-value. Howe...
Stefano Moretti, Danitsja van Leeuwen, Hans Gmuend...
BMCBI
2011
13 years 2 months ago
Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in i
Background: In the last decades, microarray technology has spread, leading to a dramatic increase of publicly available datasets. The first statistical tools developed were focuse...
Paolo G. V. Martini, Davide Risso, Gabriele Sales,...