Sparse logistic regression with a L(1/2) penalty for gene selection in cancer classification

BACKGROUND: Microarray technology is widely used in cancer diagnosis. Successfully identifying gene biomarkers will significantly help to classify different cancer types and improve the prediction accuracy. The regularization approach is one of the effective methods for gene selection in microarray...

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Hlavní autoři: Liang, Yong, Liu, Cheng, Luan, Xin-Ze, Leung, Kwong-Sak, Chan, Tak-Ming, Xu, Zong-Ben, Zhang, Hai
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2013
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Research Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3718705/
https://ncbi.nlm.nih.gov/pubmed/23777239
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-14-198
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