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BIBE
2005
IEEE
14 years 1 months ago
2005
IEEE
Selecting informative genes from microarray experiments is one of the most important data analysis steps for deciphering biological information imbedded in such experiments. Howev...
BMCBI
2006
13 years 7 months ago
2006
Background: Many statistical algorithms combine microarray expression data and genome sequence data to identify transcription factor binding motifs in the low eukaryotic genomes. ...
IJBRA
2007
13 years 7 months ago
2007
: For microarray based cancer classification, feature selection is a common method for improving classifier generalisation. Most wrapper methods use cross validation methods to eva...
BMCBI
2006
13 years 7 months ago
2006
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
BMCBI
2004
13 years 7 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...