Comprehensive evaluation of computational methods for predicting cancer driver genes

Optimal methods could effectively improve the accuracy of predicting and identifying candidate driver genes. Various computational methods based on mutational frequency, network and function approaches have been developed to identify mutation driver genes in cancer genomes. However, a comprehensive...

Descripción completa

Detalles Bibliográficos
Autores principales: Shi, Xiaohui, Teng, Huajing, Shi, Leisheng, Bi, Wenjian, Wei, Wenqing, Mao, Fengbiao, Sun, Zhongsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921613/
https://www.ncbi.nlm.nih.gov/pubmed/35037014
http://dx.doi.org/10.1093/bib/bbab548

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921613/
https://www.ncbi.nlm.nih.gov/pubmed/35037014
http://dx.doi.org/10.1093/bib/bbab548

Ejemplares similares