Feature Selection for Predicting Tumor Metastases in Microarray Experiments using Paired Design
Among the major issues in gene expression profile classification, feature selection is an important and necessary step in achieving and creating good classification rules given the high dimensionality of microarray data. Although different feature selection methods have been reported, there has been...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2007-01-01
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| Series: | Cancer Informatics |
| Online Access: | https://doi.org/10.1177/117693510700300025 |