Using the information embedded in the testing sample to break the limits caused by the small sample size in microarray-based classification
<p>Abstract</p> <p>Background</p> <p>Microarray-based tumor classification is characterized by a very large number of features (genes) and small number of samples. In such cases, statistical techniques cannot determine which genes are correlated to each tumor type. A po...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2008-06-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/9/280 |