243 related articles for article (PubMed ID: 34491536)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. Identifying overlapping mutated driver pathways by constructing gene networks in cancer.
Wu H; Gao L; Li F; Song F; Yang X; Kasabov N
BMC Bioinformatics; 2015; 16 Suppl 5(Suppl 5):S3. PubMed ID: 25859819
[TBL] [Abstract][Full Text] [Related]
9. Network-Based Coverage of Mutational Profiles Reveals Cancer Genes.
Hristov BH; Singh M
Cell Syst; 2017 Sep; 5(3):221-229.e4. PubMed ID: 28957656
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. A novel network control model for identifying personalized driver genes in cancer.
Guo WF; Zhang SW; Zeng T; Li Y; Gao J; Chen L
PLoS Comput Biol; 2019 Nov; 15(11):e1007520. PubMed ID: 31765387
[TBL] [Abstract][Full Text] [Related]
12. The Discovery of Mutated Driver Pathways in Cancer: Models and Algorithms.
Zhang J; Zhang S
IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(3):988-998. PubMed ID: 28113329
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Comprehensive evaluation of computational methods for predicting cancer driver genes.
Shi X; Teng H; Shi L; Bi W; Wei W; Mao F; Sun Z
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35037014
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. MaxCLK: discovery of cancer driver genes via maximal clique and information entropy of modules.
Liu J; Ma F; Zhu Y; Zhang N; Kong L; Mi J; Cong H; Gao R; Wang M; Zhang Y
Bioinformatics; 2023 Dec; 39(12):. PubMed ID: 38065693
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Driver gene detection through Bayesian network integration of mutation and expression profiles.
Chen Z; Lu Y; Cao B; Zhang W; Edwards A; Zhang K
Bioinformatics; 2022 May; 38(10):2781-2790. PubMed ID: 35561191
[TBL] [Abstract][Full Text] [Related]
19. Integrating multi-omics data to identify dysregulated modules in endometrial cancer.
Chen Z; Liang B; Wu Y; Liu Q; Zhang H; Wu H
Brief Funct Genomics; 2022 Jul; 21(4):310-324. PubMed ID: 35652472
[TBL] [Abstract][Full Text] [Related]
20. m
Ma Q; Zhang SW; Zhang SY
Methods; 2022 Jul; 203():125-138. PubMed ID: 35436514
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
