286 related articles for article (PubMed ID: 31103572)
1. Simultaneous Integration of Multi-omics Data Improves the Identification of Cancer Driver Modules.
Silverbush D; Cristea S; Yanovich-Arad G; Geiger T; Beerenwinkel N; Sharan R
Cell Syst; 2019 May; 8(5):456-466.e5. PubMed ID: 31103572
[TBL] [Abstract][Full Text] [Related]
2. 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]
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. Simultaneous identification of multiple driver pathways in cancer.
Leiserson MD; Blokh D; Sharan R; Raphael BJ
PLoS Comput Biol; 2013; 9(5):e1003054. PubMed ID: 23717195
[TBL] [Abstract][Full Text] [Related]
5. The Integrative Method Based on the Module-Network for Identifying Driver Genes in Cancer Subtypes.
Lu X; Li X; Liu P; Qian X; Miao Q; Peng S
Molecules; 2018 Jan; 23(2):. PubMed ID: 29364829
[TBL] [Abstract][Full Text] [Related]
6. Identification of candidate cancer drivers by integrative Epi-DNA and Gene Expression (iEDGE) data analysis.
Li A; Chapuy B; Varelas X; Sebastiani P; Monti S
Sci Rep; 2019 Nov; 9(1):16904. PubMed ID: 31729402
[TBL] [Abstract][Full Text] [Related]
7. Identifying mutated driver pathways in cancer by integrating multi-omics data.
Wu J; Cai Q; Wang J; Liao Y
Comput Biol Chem; 2019 Jun; 80():159-167. PubMed ID: 30959272
[TBL] [Abstract][Full Text] [Related]
8. Using MEMo to discover mutual exclusivity modules in cancer.
Ciriello G; Cerami E; Aksoy BA; Sander C; Schultz N
Curr Protoc Bioinformatics; 2013 Mar; Chapter 8():8.17.1-8.17.12. PubMed ID: 23504936
[TBL] [Abstract][Full Text] [Related]
9. A comparative study of multi-omics integration tools for cancer driver gene identification and tumour subtyping.
Sathyanarayanan A; Gupta R; Thompson EW; Nyholt DR; Bauer DC; Nagaraj SH
Brief Bioinform; 2020 Dec; 21(6):1920-1936. PubMed ID: 31774481
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. BRCA-Pathway: a structural integration and visualization system of TCGA breast cancer data on KEGG pathways.
Kim I; Choi S; Kim S
BMC Bioinformatics; 2018 Feb; 19(Suppl 1):42. PubMed ID: 29504910
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Integration of multi-omics data to mine cancer-related gene modules.
Li P; Guo M; Sun B
J Bioinform Comput Biol; 2019 Dec; 17(6):1950038. PubMed ID: 32019413
[TBL] [Abstract][Full Text] [Related]
14. Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival.
Suo C; Hrydziuszko O; Lee D; Pramana S; Saputra D; Joshi H; Calza S; Pawitan Y
Bioinformatics; 2015 Aug; 31(16):2607-13. PubMed ID: 25810432
[TBL] [Abstract][Full Text] [Related]
15. Identification of ovarian cancer subtype-specific network modules and candidate drivers through an integrative genomics approach.
Zhang D; Chen P; Zheng CH; Xia J
Oncotarget; 2016 Jan; 7(4):4298-309. PubMed ID: 26735889
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Pathway Relevance Ranking for Tumor Samples through Network-Based Data Integration.
Verbeke LP; Van den Eynden J; Fierro AC; Demeester P; Fostier J; Marchal K
PLoS One; 2015; 10(7):e0133503. PubMed ID: 26217958
[TBL] [Abstract][Full Text] [Related]
18. Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.
Kim D; Li R; Dudek SM; Ritchie MD
J Biomed Inform; 2015 Aug; 56():220-8. PubMed ID: 26048077
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Computational approaches for the identification of cancer genes and pathways.
Dimitrakopoulos CM; Beerenwinkel N
Wiley Interdiscip Rev Syst Biol Med; 2017 Jan; 9(1):. PubMed ID: 27863091
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]