Robust Model Selection for Classification of Microarrays
Recently, microarray-based cancer diagnosis systems have been increasingly investigated. However, cost reduction and reliability assurance of such diagnosis systems are still remaing problems in real clinical scenes. To reduce the cost, we need a supervised classifier involving the smallest number o...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2009-01-01
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Series: | Cancer Informatics |
Online Access: | https://doi.org/10.4137/CIN.S2704 |