These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

196 related articles for article (PubMed ID: 33319839)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 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. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. Voting-based cancer module identification by combining topological and data-driven properties.
    Azad AK; Lee H
    PLoS One; 2013; 8(8):e70498. PubMed ID: 23940583
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. A new correlation clustering method for cancer mutation analysis.
    Hou JP; Emad A; Puleo GJ; Ma J; Milenkovic O
    Bioinformatics; 2016 Dec; 32(24):3717-3728. PubMed ID: 27540270
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. 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]  

  • 20. OMEN: network-based driver gene identification using mutual exclusivity.
    Van Daele D; Weytjens B; De Raedt L; Marchal K
    Bioinformatics; 2022 Jun; 38(12):3245-3251. PubMed ID: 35552634
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.