Molecular cancer classification using a meta-sample-based regularized robust coding method

MOTIVATION: Previous studies have demonstrated that machine learning based molecular cancer classification using gene expression profiling (GEP) data is promising for the clinic diagnosis and treatment of cancer. Novel classification methods with high efficiency and prediction accuracy are still nee...

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Detalles Bibliográficos
Autores principales: Wang, Shu-Lin, Sun, Liuchao, Fang, Jianwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4271561/
https://www.ncbi.nlm.nih.gov/pubmed/25473795
http://dx.doi.org/10.1186/1471-2105-15-S15-S2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4271561/
https://www.ncbi.nlm.nih.gov/pubmed/25473795
http://dx.doi.org/10.1186/1471-2105-15-S15-S2

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