iCAGES: integrated CAncer GEnome Score for comprehensively prioritizing driver genes in personal cancer genomes

Cancer results from the acquisition of somatic driver mutations. Several computational tools can predict driver genes from population-scale genomic data, but tools for analyzing personal cancer genomes are underdeveloped. Here we developed iCAGES, a novel statistical framework that infers driver var...

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Detalles Bibliográficos
Autores principales: Dong, Chengliang, Guo, Yunfei, Yang, Hui, He, Zeyu, Liu, Xiaoming, Wang, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5180414/
https://www.ncbi.nlm.nih.gov/pubmed/28007024
http://dx.doi.org/10.1186/s13073-016-0390-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5180414/
https://www.ncbi.nlm.nih.gov/pubmed/28007024
http://dx.doi.org/10.1186/s13073-016-0390-0

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