eMBI: Boosting Gene Expression-based Clustering for Cancer Subtypes

Identifying clinically relevant subtypes of a cancer using gene expression data is a challenging and important problem in medicine, and is a necessary premise to provide specific and efficient treatments for patients of different subtypes. Matrix factorization provides a solution by finding checker-...

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Detalles Bibliográficos
Autores principales: Chang, Zheng, Wang, Zhenjia, Ashby, Cody, Zhou, Chuan, Li, Guojun, Zhang, Shuzhong, Huang, Xiuzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2014
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4213194/
https://www.ncbi.nlm.nih.gov/pubmed/25374455
http://dx.doi.org/10.4137/CIN.S13777

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4213194/
https://www.ncbi.nlm.nih.gov/pubmed/25374455
http://dx.doi.org/10.4137/CIN.S13777

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