Identification of cancer subtypes from single-cell RNA-seq data using a consensus clustering method

BACKGROUND: Human cancers are complex ecosystems composed of cells with distinct molecular signatures. Such intratumoral heterogeneity poses a major challenge to cancer diagnosis and treatment. Recent advancements of single-cell techniques such as scRNA-seq have brought unprecedented insights into c...

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Detalles Bibliográficos
Autores principales: Gan, Yanglan, Li, Ning, Zou, Guobing, Xin, Yongchang, Guan, Jihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311928/
https://www.ncbi.nlm.nih.gov/pubmed/30598115
http://dx.doi.org/10.1186/s12920-018-0433-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311928/
https://www.ncbi.nlm.nih.gov/pubmed/30598115
http://dx.doi.org/10.1186/s12920-018-0433-z

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