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Journal Abstract Search

747 related items for PubMed ID: 24565034

  • 1. 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
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  • 5. 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
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  • 7. Automated network analysis identifies core pathways in glioblastoma.
    Cerami E, Demir E, Schultz N, Taylor BS, Sander C.
    PLoS One; 2010 Feb 12; 5(2):e8918. PubMed ID: 20169195
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  • 11. Mutual exclusivity analysis identifies oncogenic network modules.
    Ciriello G, Cerami E, Sander C, Schultz N.
    Genome Res; 2012 Feb 12; 22(2):398-406. PubMed ID: 21908773
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  • 13. Discovery of mutated subnetworks associated with clinical data in cancer.
    Vandin F, Clay P, Upfal E, Raphael BJ.
    Pac Symp Biocomput; 2012 Feb 12; ():55-66. PubMed ID: 22174262
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  • 15. 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 12; 13(10):e1005695. PubMed ID: 29023534
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  • 18. Detection of Driver Modules with Rarely Mutated Genes in Cancers.
    Li F, Gao L, Wang B.
    IEEE/ACM Trans Comput Biol Bioinform; 2020 Oct 12; 17(2):390-401. PubMed ID: 29994261
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  • 19. Voting-based cancer module identification by combining topological and data-driven properties.
    Azad AK, Lee H.
    PLoS One; 2013 Oct 12; 8(8):e70498. PubMed ID: 23940583
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  • 20. 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 15; 9(1):16904. PubMed ID: 31729402
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