A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets
<p>Abstract</p> <p>Background</p> <p>Gene selection is an important step when building predictors of disease state based on gene expression data. Gene selection generally improves performance and identifies a relevant subset of genes. Many univariate and multivariate ge...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2006-05-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/7/235 |