368 related articles for article (PubMed ID: 21385051)
1. Algorithms for detecting significantly mutated pathways in cancer.
Vandin F; Upfal E; Raphael BJ
J Comput Biol; 2011 Mar; 18(3):507-22. PubMed ID: 21385051
[TBL] [Abstract][Full Text] [Related]
2. Discovery of mutated subnetworks associated with clinical data in cancer.
Vandin F; Clay P; Upfal E; Raphael BJ
Pac Symp Biocomput; 2012; ():55-66. PubMed ID: 22174262
[TBL] [Abstract][Full Text] [Related]
3. Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes.
Leiserson MD; Vandin F; Wu HT; Dobson JR; Eldridge JV; Thomas JL; Papoutsaki A; Kim Y; Niu B; McLellan M; Lawrence MS; Gonzalez-Perez A; Tamborero D; Cheng Y; Ryslik GA; Lopez-Bigas N; Getz G; Ding L; Raphael BJ
Nat Genet; 2015 Feb; 47(2):106-14. PubMed ID: 25501392
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Finding co-mutated genes and candidate cancer genes in cancer genomes by stratified false discovery rate control.
Wang J; Zhang Y; Shen X; Zhu J; Zhang L; Zou J; Guo Z
Mol Biosyst; 2011 Apr; 7(4):1158-66. PubMed ID: 21279201
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. A novel network regularized matrix decomposition method to detect mutated cancer genes in tumour samples with inter-patient heterogeneity.
Xi J; Li A; Wang M
Sci Rep; 2017 Jun; 7(1):2855. PubMed ID: 28588243
[TBL] [Abstract][Full Text] [Related]
8. Identification of significantly mutated subnetworks in the breast cancer genome.
Ajwad R; Domaratzki M; Liu Q; Feizi N; Hu P
Sci Rep; 2021 Jan; 11(1):642. PubMed ID: 33436820
[TBL] [Abstract][Full Text] [Related]
9. Detecting recurrent gene mutation in interaction network context using multi-scale graph diffusion.
Babaei S; Hulsman M; Reinders M; de Ridder J
BMC Bioinformatics; 2013 Jan; 14():29. PubMed ID: 23343428
[TBL] [Abstract][Full Text] [Related]
10. VarWalker: personalized mutation network analysis of putative cancer genes from next-generation sequencing data.
Jia P; Zhao Z
PLoS Comput Biol; 2014 Feb; 10(2):e1003460. PubMed ID: 24516372
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Shared and unique mutational gene co-occurrences in cancers.
Liu J; Zhao D; Fan R
Biochem Biophys Res Commun; 2015 Oct; 465(4):777-83. PubMed ID: 26315265
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Characterizing mutation-expression network relationships in multiple cancers.
Ghazanfar S; Yang JYH
Comput Biol Chem; 2016 Aug; 63():73-82. PubMed ID: 26935398
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Molecular pathways in tumor progression: from discovery to functional understanding.
Ali MA; Sjöblom T
Mol Biosyst; 2009 Sep; 5(9):902-8. PubMed ID: 19668850
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Hierarchical HotNet: identifying hierarchies of altered subnetworks.
Reyna MA; Leiserson MDM; Raphael BJ
Bioinformatics; 2018 Sep; 34(17):i972-i980. PubMed ID: 30423088
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]