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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-...
Autores principales: | Chang, Zheng, Wang, Zhenjia, Ashby, Cody, Zhou, Chuan, Li, Guojun, Zhang, Shuzhong, Huang, Xiuzhen |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2014
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Materias: | |
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 |
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