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 *

310 related articles for article (PubMed ID: 28520777)

  • 1. Network based stratification of major cancers by integrating somatic mutation and gene expression data.
    He Z; Zhang J; Yuan X; Liu Z; Liu B; Tuo S; Liu Y
    PLoS One; 2017; 12(5):e0177662. PubMed ID: 28520777
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression.
    Liu Y; Gu Q; Hou JP; Han J; Ma J
    BMC Bioinformatics; 2014 Feb; 15():37. PubMed ID: 24491042
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Stratification of Breast Cancer by Integrating Gene Expression Data and Clinical Variables.
    He Z; Zhang J; Yuan X; Xi J; Liu Z; Zhang Y
    Molecules; 2019 Feb; 24(3):. PubMed ID: 30754661
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The panoramic picture of pepsinogen gene family with pan-cancer.
    Shen S; Li H; Liu J; Sun L; Yuan Y
    Cancer Med; 2020 Dec; 9(23):9064-9080. PubMed ID: 33067881
    [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. Integration of multi-omics data for survival prediction of lung adenocarcinoma.
    Guo D; Wang Y; Chen J; Liu X
    Comput Methods Programs Biomed; 2024 Jun; 250():108192. PubMed ID: 38701699
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Integrative analysis of somatic mutations and transcriptomic data to functionally stratify breast cancer patients.
    Zhang J; Abrams Z; Parvin JD; Huang K
    BMC Genomics; 2016 Aug; 17 Suppl 7(Suppl 7):513. PubMed ID: 27556157
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival.
    Suo C; Hrydziuszko O; Lee D; Pramana S; Saputra D; Joshi H; Calza S; Pawitan Y
    Bioinformatics; 2015 Aug; 31(16):2607-13. PubMed ID: 25810432
    [TBL] [Abstract][Full Text] [Related]  

  • 10. TP53 mutations, expression and interaction networks in human cancers.
    Wang X; Sun Q
    Oncotarget; 2017 Jan; 8(1):624-643. PubMed ID: 27880943
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A computational method for clinically relevant cancer stratification and driver mutation module discovery using personal genomics profiles.
    Wang L; Li F; Sheng J; Wong ST
    BMC Genomics; 2015; 16 Suppl 7(Suppl 7):S6. PubMed ID: 26099165
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Analysis of cis-Regulatory Elements in Gene Co-expression Networks in Cancer.
    Triska M; Ivliev A; Nikolsky Y; Tatarinova TV
    Methods Mol Biol; 2017; 1613():291-310. PubMed ID: 28849565
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A network-pathway based module identification for predicting the prognosis of ovarian cancer patients.
    Wang X; Wang SS; Zhou L; Yu L; Zhang LM
    J Ovarian Res; 2016 Nov; 9(1):73. PubMed ID: 27806724
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Network-based stratification of tumor mutations.
    Hofree M; Shen JP; Carter H; Gross A; Ideker T
    Nat Methods; 2013 Nov; 10(11):1108-15. PubMed ID: 24037242
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Integration of multi-omics data to mine cancer-related gene modules.
    Li P; Guo M; Sun B
    J Bioinform Comput Biol; 2019 Dec; 17(6):1950038. PubMed ID: 32019413
    [TBL] [Abstract][Full Text] [Related]  

  • 16. NETBAGs: a network-based clustering approach with gene signatures for cancer subtyping analysis.
    Wu L; Liu Z; Xu J; Chen M; Fang H; Tong W; Xiao W
    Biomark Med; 2015; 9(11):1053-65. PubMed ID: 26501477
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cooperative genomic alteration network reveals molecular classification across 12 major cancer types.
    Zhang H; Deng Y; Zhang Y; Ping Y; Zhao H; Pang L; Zhang X; Wang L; Xu C; Xiao Y; Li X
    Nucleic Acids Res; 2017 Jan; 45(2):567-582. PubMed ID: 27899621
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Conservation of immune gene signatures in solid tumors and prognostic implications.
    Chifman J; Pullikuth A; Chou JW; Bedognetti D; Miller LD
    BMC Cancer; 2016 Nov; 16(1):911. PubMed ID: 27871313
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Cross-cancer profiling of molecular alterations within the human autophagy interaction network.
    Lebovitz CB; Robertson AG; Goya R; Jones SJ; Morin RD; Marra MA; Gorski SM
    Autophagy; 2015; 11(9):1668-87. PubMed ID: 26208877
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Integration of molecular features with clinical information for predicting outcomes for neuroblastoma patients.
    Han Y; Ye X; Wang C; Liu Y; Zhang S; Feng W; Huang K; Zhang J
    Biol Direct; 2019 Aug; 14(1):16. PubMed ID: 31443736
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.