Cargando…
Identifying Mutually Exclusive Gene Sets with Prognostic Value and Novel Potential Driver Genes in Patients with Glioblastoma
The pathogenesis and prognosis of glioblastoma (GBM) remain poorly understood. Mutual exclusivity analysis can distinguish driver genes and pathways from passenger ones. The purpose of this study was to identify mutually exclusive gene sets (MEGSs) that have prognostic value and to detect novel driv...
Autores principales: | Gao, Qian, Cui, Yan, Shen, Yanan, Li, Yanyan, Gao, Xue, Xi, Yanfeng, Wang, Tong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6878817/ https://www.ncbi.nlm.nih.gov/pubmed/31815141 http://dx.doi.org/10.1155/2019/4860367 |
Ejemplares similares
-
Identifying Driver Genomic Alterations in Cancers by Searching Minimum-Weight, Mutually Exclusive Sets
por: Lu, Songjian, et al.
Publicado: (2015) -
Transcriptomic heterogeneity of driver gene mutations reveals novel mutual exclusivity and improves exploration of functional associations
por: Lan, Yujia, et al.
Publicado: (2021) -
SSA-ME Detection of cancer driver genes using mutual exclusivity by small subnetwork analysis
por: Pulido-Tamayo, Sergio, et al.
Publicado: (2016) -
Identifying the personalized driver gene sets maximally contributing to abnormality of transcriptome phenotype in glioblastoma multiforme individuals
por: Xu, Jinyuan, et al.
Publicado: (2023) -
A Network-Centric Framework for the Evaluation of Mutual Exclusivity Tests on Cancer Drivers
por: Ahmed, Rafsan, et al.
Publicado: (2021)