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» Combined Gene Selection Methods for Microarray Data Analysis
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144
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BMCBI
2006
213views more  BMCBI 2006»
15 years 2 months ago
CoXpress: differential co-expression in gene expression data
Background: Traditional methods of analysing gene expression data often include a statistical test to find differentially expressed genes, or use of a clustering algorithm to find...
Michael Watson
115
Voted
BMCBI
2007
104views more  BMCBI 2007»
15 years 2 months ago
Joint mapping of genes and conditions via multidimensional unfolding analysis
Background: Microarray compendia profile the expression of genes in a number of experimental conditions. Such data compendia are useful not only to group genes and conditions base...
Katrijn Van Deun, Kathleen Marchal, Willem J. Heis...
131
Voted
ACMSE
2006
ACM
15 years 8 months ago
Automatic quality assessment of Affymetrix GeneChip data
Computing reliable gene expression levels from microarray experiments is a sophisticated process with many potential pitfalls. Quality control is one of the most important steps i...
Steffen Heber, Beate Sick
128
Voted
ICML
2009
IEEE
16 years 3 months ago
Partially supervised feature selection with regularized linear models
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
Thibault Helleputte, Pierre Dupont