Quantifying gene selection in cancer through protein functional alteration bias

Compiling the catalogue of genes actively involved in cancer is an ongoing endeavor, with profound implications to the understanding and treatment of the disease. An abundance of computational methods have been developed to screening the genome for candidate driver genes based on genomic data of som...

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Detalles Bibliográficos
Autores principales: Brandes, Nadav, Linial, Nathan, Linial, Michal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6649814/
https://www.ncbi.nlm.nih.gov/pubmed/31334812
http://dx.doi.org/10.1093/nar/gkz546

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6649814/
https://www.ncbi.nlm.nih.gov/pubmed/31334812
http://dx.doi.org/10.1093/nar/gkz546

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