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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Detalles Bibliográficos
Autores principales: Huang, Lingkang, Zhang, Hao Helen, Zeng, Zhao-Bang, Bushel, Pierre R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2013
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3740816/
https://www.ncbi.nlm.nih.gov/pubmed/23966761
http://dx.doi.org/10.4137/CIN.S10212

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3740816/
https://www.ncbi.nlm.nih.gov/pubmed/23966761
http://dx.doi.org/10.4137/CIN.S10212

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