249 related articles for article (PubMed ID: 25859819)
1. 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]
2. 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]
3. De novo discovery of mutated driver pathways in cancer.
Vandin F; Upfal E; Raphael BJ
Genome Res; 2012 Feb; 22(2):375-85. PubMed ID: 21653252
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Efficient methods for identifying mutated driver pathways in cancer.
Zhao J; Zhang S; Wu LY; Zhang XS
Bioinformatics; 2012 Nov; 28(22):2940-7. PubMed ID: 22982574
[TBL] [Abstract][Full Text] [Related]
6. Simulated annealing based algorithm for identifying mutated driver pathways in cancer.
Li HT; Zhang YL; Zheng CH; Wang HQ
Biomed Res Int; 2014; 2014():375980. PubMed ID: 24982873
[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. 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]
9. Distinguishing between driver and passenger mutations in individual cancer genomes by network enrichment analysis.
Merid SK; Goranskaya D; Alexeyenko A
BMC Bioinformatics; 2014 Sep; 15(1):308. PubMed ID: 25236784
[TBL] [Abstract][Full Text] [Related]
10. Identification of mutated driver pathways in cancer using a multi-objective optimization model.
Zheng CH; Yang W; Chong YW; Xia JF
Comput Biol Med; 2016 May; 72():22-9. PubMed ID: 26995027
[TBL] [Abstract][Full Text] [Related]
11. Discovery of cancer common and specific driver gene sets.
Zhang J; Zhang S
Nucleic Acids Res; 2017 Jun; 45(10):e86. PubMed ID: 28168295
[TBL] [Abstract][Full Text] [Related]
12. Identification of driver pathways in cancer based on combinatorial patterns of somatic gene mutations.
Li HT; Zhang J; Xia J; Zheng CH
Neoplasma; 2016; 63(1):57-63. PubMed ID: 26639234
[TBL] [Abstract][Full Text] [Related]
13. LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network.
Wei PJ; Zhang D; Xia J; Zheng CH
BMC Bioinformatics; 2016 Dec; 17(Suppl 17):467. PubMed ID: 28155630
[TBL] [Abstract][Full Text] [Related]
14. Identifying Driver Genomic Alterations in Cancers by Searching Minimum-Weight, Mutually Exclusive Sets.
Lu S; Lu KN; Cheng SY; Hu B; Ma X; Nystrom N; Lu X
PLoS Comput Biol; 2015 Aug; 11(8):e1004257. PubMed ID: 26317392
[TBL] [Abstract][Full Text] [Related]
15. On the Sample Complexity of Cancer Pathways Identification.
Vandin F; Raphael BJ; Upfal E
J Comput Biol; 2016 Jan; 23(1):30-41. PubMed ID: 26645471
[TBL] [Abstract][Full Text] [Related]
16. Network-Based Method for Inferring Cancer Progression at the Pathway Level from Cross-Sectional Mutation Data.
Wu H; Gao L; Kasabov NK
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(6):1036-1044. PubMed ID: 26915128
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. A Novel Method for Identifying the Potential Cancer Driver Genes Based on Molecular Data Integration.
Zhang W; Wang SL
Biochem Genet; 2020 Feb; 58(1):16-39. PubMed ID: 31115714
[TBL] [Abstract][Full Text] [Related]
19. Discovery of co-occurring driver pathways in cancer.
Zhang J; Wu LY; Zhang XS; Zhang S
BMC Bioinformatics; 2014 Aug; 15(1):271. PubMed ID: 25106096
[TBL] [Abstract][Full Text] [Related]
20. A greedy approach for mutual exclusivity analysis in cancer study.
Fang H; Zhang Z; Zhou Y; Jin L; Yang Y
Biostatistics; 2022 Jul; 23(3):910-925. PubMed ID: 33634822
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
