Comprehensive Characterization of Cancer Driver Genes and Mutations

Identifying molecular cancer drivers is critical for precision oncology. Multiple advanced algorithms to identify drivers now exist, but systematic attempts to combine and optimize them on large datasets are few. We report a PanCancer and PanSoftware analysis spanning 9,423 tumor exomes (comprising...

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Publicado en:Cell
Main Authors: Bailey, Matthew H., Tokheim, Collin, Porta-Pardo, Eduard, Sengupta, Sohini, Bertrand, Denis, Weerasinghe, Amila, Colaprico, Antonio, Wendl, Michael C., Kim, Jaegil, Reardon, Brendan, Ng, Kwok-Shing, Jeong, Kang Jin, Cao, Song, Wang, Zixing, Gao, JianJiong, Gao, Qingsong, Wang, Fang, Liu, Eric Minwei, Mularoni, Loris, Rubio-Perez, Carlota, Nagarajan, Niranjan, Cortés-Ciriano, Isidro, Zhou, Daniel Cui, Liang, Wen-Wei, Hess, Julian M., Yellapantula, Venkata D., Tamborero, David, Gonzalez-Perez, Abel, Suphavilai, Chayaporn, Ko, Jia Yu, Khurana, Ekta, Park, Peter J., Van Allen, Eliezer, Liang, Han, Lawrence, Michael, Godzik, Adam, Lopez-Bigas, Nuria, Stuart, Josh, Wheeler, David, Getz, Gad, Chen, Ken, Lazar, Alexander J., Mills, Gordon B, Karchin, Rachel, Ding, Li
Formato: Artigo
Idioma:Inglês
Publicado: 2018
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6029450/
https://ncbi.nlm.nih.gov/pubmed/29625053
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cell.2018.02.060
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