NetSig: network-based discovery from cancer genomes

Approaches that integrate molecular network information and tumor genome data could complement gene-based statistical tests to identify likely new cancer genes, but are challenging to validate at scale and their predictive value remains unclear. We developed a robust statistic (NetSig) that integrat...

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Detalles Bibliográficos
Autores principales: Horn, Heiko, Lawrence, Michael S., Chouinard, Candace R., Shrestha, Yashaswi, Hu, Jessica Xin, Worstell, Elizabeth, Shea, Emily, Ilic, Nina, Kim, Eejung, Kamburov, Atanas, Kashani, Alireza, Hahn, William C., Campbell, Joshua D., Boehm, Jesse S., Getz, Gad, Lage, Kasper
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5985961/
https://www.ncbi.nlm.nih.gov/pubmed/29200198
http://dx.doi.org/10.1038/nmeth.4514

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5985961/
https://www.ncbi.nlm.nih.gov/pubmed/29200198
http://dx.doi.org/10.1038/nmeth.4514

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