Identifying cancer biomarkers by network-constrained support vector machines

BACKGROUND: One of the major goals in gene and protein expression profiling of cancer is to identify biomarkers and build classification models for prediction of disease prognosis or treatment response. Many traditional statistical methods, based on microarray gene expression data alone and individu...

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Detalles Bibliográficos
Autores principales: Chen, Li, Xuan, Jianhua, Riggins, Rebecca B, Clarke, Robert, Wang, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3214162/
https://www.ncbi.nlm.nih.gov/pubmed/21992556
http://dx.doi.org/10.1186/1752-0509-5-161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3214162/
https://www.ncbi.nlm.nih.gov/pubmed/21992556
http://dx.doi.org/10.1186/1752-0509-5-161

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