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Improved Sparse Multi-Class SVM and Its Application for Gene Selection in Cancer Classification

BACKGROUND: Microarray techniques provide promising tools for cancer diagnosis using gene expression profiles. However, molecular diagnosis based on high-throughput platforms presents great challenges due to the overwhelming number of variables versus the small sample size and the complex nature of...

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Bibliografiset tiedot
Päätekijät: Huang, Lingkang, Zhang, Hao Helen, Zeng, Zhao-Bang, Bushel, Pierre R.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Libertas Academica 2013
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC3740816/
https://ncbi.nlm.nih.gov/pubmed/23966761
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4137/CIN.S10212
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