GDSCTools for mining pharmacogenomic interactions in cancer

MOTIVATION: Large pharmacogenomic screenings integrate heterogeneous cancer genomic datasets as well as anti-cancer drug responses on thousand human cancer cell lines. Mining this data to identify new therapies for cancer sub-populations would benefit from common data structures, modular computation...

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Detalles Bibliográficos
Autores principales: Cokelaer, Thomas, Chen, Elisabeth, Iorio, Francesco, Menden, Michael P, Lightfoot, Howard, Saez-Rodriguez, Julio, Garnett, Mathew J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6031019/
https://www.ncbi.nlm.nih.gov/pubmed/29186349
http://dx.doi.org/10.1093/bioinformatics/btx744

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6031019/
https://www.ncbi.nlm.nih.gov/pubmed/29186349
http://dx.doi.org/10.1093/bioinformatics/btx744

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