336 related articles for article (PubMed ID: 27896999)
1. IDENTIFY CANCER DRIVER GENES THROUGH SHARED MENDELIAN DISEASE PATHOGENIC VARIANTS AND CANCER SOMATIC MUTATIONS.
Ma M; Wang C; Glicksberg BS; Schadt EE; Li SD; Chen R
Pac Symp Biocomput; 2017; 22():473-484. PubMed ID: 27896999
[TBL] [Abstract][Full Text] [Related]
2. Identifying cancer type specific oncogenes and tumor suppressors using limited size data.
Pavel AB; Vasile CI
J Bioinform Comput Biol; 2016 Dec; 14(6):1650031. PubMed ID: 27712196
[TBL] [Abstract][Full Text] [Related]
3. Identification of constrained cancer driver genes based on mutation timing.
Sakoparnig T; Fried P; Beerenwinkel N
PLoS Comput Biol; 2015 Jan; 11(1):e1004027. PubMed ID: 25569148
[TBL] [Abstract][Full Text] [Related]
4. SomInaClust: detection of cancer genes based on somatic mutation patterns of inactivation and clustering.
Van den Eynden J; Fierro AC; Verbeke LP; Marchal K
BMC Bioinformatics; 2015 Apr; 16():125. PubMed ID: 25903787
[TBL] [Abstract][Full Text] [Related]
5. Combinatorial patterns of somatic gene mutations in cancer.
Yeang CH; McCormick F; Levine A
FASEB J; 2008 Aug; 22(8):2605-22. PubMed ID: 18434431
[TBL] [Abstract][Full Text] [Related]
6. Evaluating the evaluation of cancer driver genes.
Tokheim CJ; Papadopoulos N; Kinzler KW; Vogelstein B; Karchin R
Proc Natl Acad Sci U S A; 2016 Dec; 113(50):14330-14335. PubMed ID: 27911828
[TBL] [Abstract][Full Text] [Related]
7. OncoVar: an integrated database and analysis platform for oncogenic driver variants in cancers.
Wang T; Ruan S; Zhao X; Shi X; Teng H; Zhong J; You M; Xia K; Sun Z; Mao F
Nucleic Acids Res; 2021 Jan; 49(D1):D1289-D1301. PubMed ID: 33179738
[TBL] [Abstract][Full Text] [Related]
8. Identification and analysis of mutational hotspots in oncogenes and tumour suppressors.
Baeissa H; Benstead-Hume G; Richardson CJ; Pearl FMG
Oncotarget; 2017 Mar; 8(13):21290-21304. PubMed ID: 28423505
[TBL] [Abstract][Full Text] [Related]
9. Somatic selection distinguishes oncogenes and tumor suppressor genes.
Chandrashekar P; Ahmadinejad N; Wang J; Sekulic A; Egan JB; Asmann YW; Kumar S; Maley C; Liu L
Bioinformatics; 2020 Mar; 36(6):1712-1717. PubMed ID: 32176769
[TBL] [Abstract][Full Text] [Related]
10. Integrating mutation and gene expression cross-sectional data to infer cancer progression.
Fleck JL; Pavel AB; Cassandras CG
BMC Syst Biol; 2016 Jan; 10():12. PubMed ID: 26810975
[TBL] [Abstract][Full Text] [Related]
11. Predicting the functional consequences of somatic missense mutations found in tumors.
Carter H; Karchin R
Methods Mol Biol; 2014; 1101():135-59. PubMed ID: 24233781
[TBL] [Abstract][Full Text] [Related]
12. MUFFINN: cancer gene discovery via network analysis of somatic mutation data.
Cho A; Shim JE; Kim E; Supek F; Lehner B; Lee I
Genome Biol; 2016 Jun; 17(1):129. PubMed ID: 27333808
[TBL] [Abstract][Full Text] [Related]
13. [Towards an inventory of oncogenic mutations in cancer].
Theillet C
Bull Cancer; 2010 Nov; 97(11):1223-9. PubMed ID: 21059490
[TBL] [Abstract][Full Text] [Related]
14. Exome-Scale Discovery of Hotspot Mutation Regions in Human Cancer Using 3D Protein Structure.
Tokheim C; Bhattacharya R; Niknafs N; Gygax DM; Kim R; Ryan M; Masica DL; Karchin R
Cancer Res; 2016 Jul; 76(13):3719-31. PubMed ID: 27197156
[TBL] [Abstract][Full Text] [Related]
15. Identification of new driver and passenger mutations within APOBEC-induced hotspot mutations in bladder cancer.
Shi MJ; Meng XY; Fontugne J; Chen CL; Radvanyi F; Bernard-Pierrot I
Genome Med; 2020 Sep; 12(1):85. PubMed ID: 32988402
[TBL] [Abstract][Full Text] [Related]
16. Statistically identifying tumor suppressors and oncogenes from pan-cancer genome-sequencing data.
Kumar RD; Searleman AC; Swamidass SJ; Griffith OL; Bose R
Bioinformatics; 2015 Nov; 31(22):3561-8. PubMed ID: 26209800
[TBL] [Abstract][Full Text] [Related]
17. Network-based stratification analysis of 13 major cancer types using mutations in panels of cancer genes.
Zhong X; Yang H; Zhao S; Shyr Y; Li B
BMC Genomics; 2015; 16 Suppl 7(Suppl 7):S7. PubMed ID: 26099277
[TBL] [Abstract][Full Text] [Related]
18. Frequent mutations in acetylation and ubiquitination sites suggest novel driver mechanisms of cancer.
Narayan S; Bader GD; Reimand J
Genome Med; 2016 May; 8(1):55. PubMed ID: 27175787
[TBL] [Abstract][Full Text] [Related]
19. Machine Learning Classification and Structure-Functional Analysis of Cancer Mutations Reveal Unique Dynamic and Network Signatures of Driver Sites in Oncogenes and Tumor Suppressor Genes.
Agajanian S; Odeyemi O; Bischoff N; Ratra S; Verkhivker GM
J Chem Inf Model; 2018 Oct; 58(10):2131-2150. PubMed ID: 30253099
[TBL] [Abstract][Full Text] [Related]
20. [Current topics in mutations in the cancer genome].
Iwaya T; Mimori K; Wakabayashi G
Nihon Geka Gakkai Zasshi; 2012 Mar; 113(2):185-90. PubMed ID: 22582578
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
