165 related articles for article (PubMed ID: 34504716)
1. Identification of Common Driver Gene Modules and Associations between Cancers through Integrated Network Analysis.
Gao B; Zhao Y; Gao Y; Li G; Wu LY
Glob Chall; 2021 Sep; 5(9):2100006. PubMed ID: 34504716
[TBL] [Abstract][Full Text] [Related]
2. Identification of driver modules in pan-cancer via coordinating coverage and exclusivity.
Gao B; Li G; Liu J; Li Y; Huang X
Oncotarget; 2017 May; 8(22):36115-36126. PubMed ID: 28415609
[TBL] [Abstract][Full Text] [Related]
3. Identification of mutated core cancer modules by integrating somatic mutation, copy number variation, and gene expression data.
Zhang J; Zhang S; Wang Y; Zhang XS
BMC Syst Biol; 2013; 7 Suppl 2(Suppl 2):S4. PubMed ID: 24565034
[TBL] [Abstract][Full Text] [Related]
4. Identifying Cancer Specific Driver Modules Using a Network-Based Method.
Li F; Gao L; Wang P; Hu Y
Molecules; 2018 May; 23(5):. PubMed ID: 29738475
[TBL] [Abstract][Full Text] [Related]
5. BeWith: A Between-Within method to discover relationships between cancer modules via integrated analysis of mutual exclusivity, co-occurrence and functional interactions.
Dao P; Kim YA; Wojtowicz D; Madan S; Sharan R; Przytycka TM
PLoS Comput Biol; 2017 Oct; 13(10):e1005695. PubMed ID: 29023534
[TBL] [Abstract][Full Text] [Related]
6. An Effective Graph Clustering Method to Identify Cancer Driver Modules.
Zhang W; Zeng Y; Wang L; Liu Y; Cheng YN
Front Bioeng Biotechnol; 2020; 8():271. PubMed ID: 32318558
[TBL] [Abstract][Full Text] [Related]
7. MEMCover: integrated analysis of mutual exclusivity and functional network reveals dysregulated pathways across multiple cancer types.
Kim YA; Cho DY; Dao P; Przytycka TM
Bioinformatics; 2015 Jun; 31(12):i284-92. PubMed ID: 26072494
[TBL] [Abstract][Full Text] [Related]
8. Detection of Driver Modules with Rarely Mutated Genes in Cancers.
Li F; Gao L; Wang B
IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(2):390-401. PubMed ID: 29994261
[TBL] [Abstract][Full Text] [Related]
9. Identifying driver modules based on multi-omics biological networks in prostate cancer.
Chen Z; Liang B; Wu Y; Zhou H; Wang Y; Wu H
IET Syst Biol; 2022 Dec; 16(6):187-200. PubMed ID: 36039671
[TBL] [Abstract][Full Text] [Related]
10. Prediction of Driver Modules via Balancing Exclusive Coverages of Mutations in Cancer Samples.
Gao B; Zhao Y; Li Y; Liu J; Wang L; Li G; Su Z
Adv Sci (Weinh); 2019 Feb; 6(4):1801384. PubMed ID: 30828525
[TBL] [Abstract][Full Text] [Related]
11. Integrating Protein-Protein Interaction Networks and Somatic Mutation Data to Detect Driver Modules in Pan-Cancer.
Wu H; Chen Z; Wu Y; Zhang H; Liu Q
Interdiscip Sci; 2022 Mar; 14(1):151-167. PubMed ID: 34491536
[TBL] [Abstract][Full Text] [Related]
12. DriveWays: a method for identifying possibly overlapping driver pathways in cancer.
Baali I; Erten C; Kazan H
Sci Rep; 2020 Dec; 10(1):21971. PubMed ID: 33319839
[TBL] [Abstract][Full Text] [Related]
13. MEXCOwalk: mutual exclusion and coverage based random walk to identify cancer modules.
Ahmed R; Baali I; Erten C; Hoxha E; Kazan H
Bioinformatics; 2020 Feb; 36(3):872-879. PubMed ID: 31432076
[TBL] [Abstract][Full Text] [Related]
14. CDPath: Cooperative Driver Pathways Discovery Using Integer Linear Programming and Markov Clustering.
Yang Z; Yu G; Guo M; Yu J; Zhang X; Wang J
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(4):1384-1395. PubMed ID: 31581094
[TBL] [Abstract][Full Text] [Related]
15. Transcriptomic heterogeneity of driver gene mutations reveals novel mutual exclusivity and improves exploration of functional associations.
Lan Y; Liu W; Zhang W; Hu J; Zhu X; Wan L; A S; Ping Y; Xiao Y
Cancer Med; 2021 Jul; 10(14):4977-4993. PubMed ID: 34076361
[TBL] [Abstract][Full Text] [Related]
16. Identification of Cancer Driver Modules Based on Graph Clustering from Multiomics Data.
Zhang W; Wang SL; Liu Y
J Comput Biol; 2021 Oct; 28(10):1007-1020. PubMed ID: 34529511
[No Abstract] [Full Text] [Related]
17. Detection of driver pathways using mutated gene network in cancer.
Li F; Gao L; Ma X; Yang X
Mol Biosyst; 2016 Jun; 12(7):2135-41. PubMed ID: 27118146
[TBL] [Abstract][Full Text] [Related]
18. Network-Based Meta-Analyses of Associations of Multiple Gene Expression Profiles with Bone Mineral Density Variations in Women.
He H; Cao S; Niu T; Zhou Y; Zhang L; Zeng Y; Zhu W; Wang YP; Deng HW
PLoS One; 2016; 11(1):e0147475. PubMed ID: 26808152
[TBL] [Abstract][Full Text] [Related]
19. Microarray and network-based identification of functional modules and pathways of active tuberculosis.
Bian ZR; Yin J; Sun W; Lin DJ
Microb Pathog; 2017 Apr; 105():68-73. PubMed ID: 28189733
[TBL] [Abstract][Full Text] [Related]
20. OMEN: network-based driver gene identification using mutual exclusivity.
Van Daele D; Weytjens B; De Raedt L; Marchal K
Bioinformatics; 2022 Jun; 38(12):3245-3251. PubMed ID: 35552634
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]