A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression

BACKGROUND: Cancer subtype information is critically important for understanding tumor heterogeneity. Existing methods to identify cancer subtypes have primarily focused on utilizing generic clustering algorithms (such as hierarchical clustering) to identify subtypes based on gene expression data. T...

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Detalles Bibliográficos
Autores principales: Liu, Yiyi, Gu, Quanquan, Hou, Jack P, Han, Jiawei, Ma, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3916445/
https://www.ncbi.nlm.nih.gov/pubmed/24491042
http://dx.doi.org/10.1186/1471-2105-15-37

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3916445/
https://www.ncbi.nlm.nih.gov/pubmed/24491042
http://dx.doi.org/10.1186/1471-2105-15-37

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