Gene selection and classification of microarray data using random forest
<p>Abstract</p> <p>Background</p> <p>Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of genes that can still achieve good predictive performance (for inst...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2006-01-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/7/3 |