184 search results - page 1 / 37 » Improving the Performance of SVM-RFE to Select Genes in Micr... |
ACIIDS
2010
IEEE
13 years 2 months ago
2010
IEEE
Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...
BMCBI
2006
13 years 4 months ago
2006
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
BMCBI
2007
13 years 4 months ago
2007
Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
BMCBI
2006
13 years 4 months ago
2006
Background: Microarray data analysis is notorious for involving a huge number of genes compared to a relatively small number of samples. Gene selection is to detect the most signi...
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...