Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Pranav Nanga"'
Autor:
Siming Zhao, Jun Liu, Pranav Nanga, Yuwen Liu, A. Ercument Cicek, Nicholas Knoblauch, Chuan He, Matthew Stephens, Xin He
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
Finding driver genes sheds lights on the biological mechanisms propelling the development of a tumour, and can suggest therapeutic strategies. Here, the authors develop driverMAPS, a model-based approach to identify driver genes, and apply it to TCGA
Externí odkaz:
https://doaj.org/article/e2cfc4a4bb3344c3b518ce9ae9dea3be
Autor:
A. Ercument Cicek, Xin He, Yi Liu, Chuan He, Pranav Nanga, Matthew Stephens, Nicholas W. Knoblauch, Siming Zhao, Jun Liu
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
Nature Communications
Nature Communications
Identifying driver genes from somatic mutations is a central problem in cancer biology. Existing methods, however, either lack explicit statistical models, or use models based on simplistic assumptions. Here, we present driverMAPS (Model-based Analys
Autor:
Xin He, Nicholas W. Knoblauch, Jun Liu, Siming Zhao, Matthew Stephens, A. Ercument Cicek, Chuan He, Yi Liu, Pranav Nanga
Identifying driver genes is a central problem in cancer biology, and many methods have been developed to identify driver genes from somatic mutation data. However, existing methods either lack explicit statistical models, or rely on very simple model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fed45b7793ae8577e1d38a20a7459c49