Tree inference for single-cell data

Understanding the mutational heterogeneity within tumors is a keystone for the development of efficient cancer therapies. Here, we present SCITE, a stochastic search algorithm to identify the evolutionary history of a tumor from noisy and incomplete mutation profiles of single cells. SCITE comprises...

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Detalles Bibliográficos
Autores principales: Jahn, Katharina, Kuipers, Jack, Beerenwinkel, Niko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858868/
https://www.ncbi.nlm.nih.gov/pubmed/27149953
http://dx.doi.org/10.1186/s13059-016-0936-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858868/
https://www.ncbi.nlm.nih.gov/pubmed/27149953
http://dx.doi.org/10.1186/s13059-016-0936-x

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