113 search results - page 2 / 23 » Learning Microarray Gene Expression Data by Hybrid Discrimin... |
ISMB
2000
13 years 6 months ago
2000
Several microarray technologies that monitor the level of expression of a large number of genes have recently emerged. Given DNA-microarray data for a set of cells characterized b...
BMCBI
2007
13 years 4 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
BMCBI
2005
13 years 4 months ago
2005
Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
FLAIRS
2004
13 years 6 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
BMCBI
2006
13 years 5 months ago
2006
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...