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Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE

BACKGROUND: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease. Among numerous existing methods for gene selection, support vector machine-based recursive feature elimination (SVM-RFE...

詳細記述

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書誌詳細
主要な著者: Niijima, Satoshi, Kuhara, Satoru
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2006
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC1790716/
https://ncbi.nlm.nih.gov/pubmed/17187691
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-543
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