Dimension reduction with redundant gene elimination for tumor classification
<p>Abstract</p> <p>Background</p> <p>Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DNA microarray experiments by commonly used classifiers, because the...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2008-05-01
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| Series: | BMC Bioinformatics |