184 search results - page 3 / 37 » Improving the Performance of SVM-RFE to Select Genes in Micr... |
BMCBI
2006
13 years 4 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...
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Voted
KDD
2004
ACM
14 years 5 months ago
2004
ACM
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Microarrays allow simultaneous measurement of the expression levels of thousands of genes in cells under different physiological or disease states. Because the number of...
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
2006
13 years 4 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 ...