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...

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Bibliographic Details
Main Authors: Ikumi Suzuki, Takashi Takenouchi, Miki Ohira, Shigeyuki Oba, Shin Ishii
Format: Article
Language:English
Published: SAGE Publishing 2009-01-01
Series:Cancer Informatics
Online Access:https://doi.org/10.4137/CIN.S2704