A novel network control model for identifying personalized driver genes in cancer

Although existing computational models have identified many common driver genes, it remains challenging to identify the personalized driver genes by using samples of an individual patient. Recently, the methods of exploiting the structure-based control principles of complex networks provide new clue...

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Detalles Bibliográficos
Autores principales: Guo, Wei-Feng, Zhang, Shao-Wu, Zeng, Tao, Li, Yan, Gao, Jianxi, Chen, Luonan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901264/
https://www.ncbi.nlm.nih.gov/pubmed/31765387
http://dx.doi.org/10.1371/journal.pcbi.1007520

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901264/
https://www.ncbi.nlm.nih.gov/pubmed/31765387
http://dx.doi.org/10.1371/journal.pcbi.1007520

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