140 search results - page 12 / 28 » Variable Selection from Random Forests: Application to Gene ... |
BMCBI
2006
13 years 8 months ago
2006
Background: Gene selection is an important step when building predictors of disease state based on gene expression data. Gene selection generally improves performance and identifi...
BMCBI
2007
13 years 8 months ago
2007
Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
BMCBI
2006
13 years 8 months ago
2006
Background: Recently several statistical methods have been proposed to identify genes with differential expression between two conditions. However, very few studies consider the p...
BMCBI
2007
13 years 8 months ago
2007
Background: A microarray study may select different differentially expressed gene sets because of different selection criteria. For example, the fold-change and p-value are two co...
BMCBI
2004
13 years 8 months ago
2004
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...