782 search results - page 13 / 157 » Combined Gene Selection Methods for Microarray Data Analysis |
114
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BMCBI
2006
14 years 11 months ago
2006
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
109
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BMCBI
2005
14 years 11 months ago
2005
Background: Gene set enrichment analysis (GSEA) is a microarray data analysis method that uses predefined gene sets and ranks of genes to identify significant biological changes i...
BIBE
2007
IEEE
15 years 3 months ago
2007
IEEE
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
BMCBI
2008
14 years 11 months ago
2008
Background: Time-course microarray experiments are being increasingly used to characterize dynamic biological processes. In these experiments, the goal is to identify genes differ...
BMCBI
2006
14 years 11 months ago
2006
Background: DNA microarray technology provides a powerful tool for characterizing gene expression on a genome scale. While the technology has been widely used in discovery-based m...