BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

180 related articles for article (PubMed ID: 24434848)

  • 1. A network-based kernel machine test for the identification of risk pathways in genome-wide association studies.
    Freytag S; Manitz J; Schlather M; Kneib T; Amos CI; Risch A; Chang-Claude J; Heinrich J; Bickeböller H
    Hum Hered; 2013; 76(2):64-75. PubMed ID: 24434848
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies.
    Friedrichs S; Manitz J; Burger P; Amos CI; Risch A; Chang-Claude J; Wichmann HE; Kneib T; Bickeböller H; Hofner B
    Comput Math Methods Med; 2017; 2017():6742763. PubMed ID: 28785300
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel kernel for correcting size bias in the logistic kernel machine test with an application to rheumatoid arthritis.
    Freytag S; Bickeböller H; Amos CI; Kneib T; Schlather M
    Hum Hered; 2012; 74(2):97-108. PubMed ID: 23466369
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Incorporating biological pathways via a Markov random field model in genome-wide association studies.
    Chen M; Cho J; Zhao H
    PLoS Genet; 2011 Apr; 7(4):e1001353. PubMed ID: 21490723
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Current status of pathway analysis in genome-wide association study.
    Wang YY; Wang ZX; Hu YD; Wang L; Li N; Zhang B; Han W; Jiang JM
    Yi Chuan; 2017 Aug; 39(8):707-716. PubMed ID: 28903898
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Epistasis network centrality analysis yields pathway replication across two GWAS cohorts for bipolar disorder.
    Pandey A; Davis NA; White BC; Pajewski NM; Savitz J; Drevets WC; McKinney BA
    Transl Psychiatry; 2012 Aug; 2(8):e154. PubMed ID: 22892719
    [TBL] [Abstract][Full Text] [Related]  

  • 7. KDSNP: A kernel-based approach to detecting high-order SNP interactions.
    Kodama K; Saigo H
    J Bioinform Comput Biol; 2016 Oct; 14(5):1644003. PubMed ID: 27806683
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Pathway Analysis Incorporating Protein-Protein Interaction Networks Identified Candidate Pathways for the Seven Common Diseases.
    Lin PL; Yu YW; Chung RH
    PLoS One; 2016; 11(9):e0162910. PubMed ID: 27622767
    [TBL] [Abstract][Full Text] [Related]  

  • 9. BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies.
    Wan X; Yang C; Yang Q; Xue H; Fan X; Tang NL; Yu W
    Am J Hum Genet; 2010 Sep; 87(3):325-40. PubMed ID: 20817139
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identifying SNP targeted pathways in partial epilepsies with genome-wide association study data.
    Bakir-Gungor B; Baykan B; Ugur İseri S; Tuncer FN; Sezerman OU
    Epilepsy Res; 2013 Jul; 105(1-2):92-102. PubMed ID: 23498093
    [TBL] [Abstract][Full Text] [Related]  

  • 11. AGGrEGATOr: A Gene-based GEne-Gene interActTiOn test for case-control association studies.
    Emily M
    Stat Appl Genet Mol Biol; 2016 Apr; 15(2):151-71. PubMed ID: 26913459
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Gene network biological validity based on gene-gene interaction relevance.
    Gómez-Vela F; Díaz-Díaz N
    ScientificWorldJournal; 2014; 2014():540679. PubMed ID: 25295303
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Maximal Information Coefficient-Based Testing to Identify Epistasis in Case-Control Association Studies.
    Guo Y; Yuan Z; Liang Z; Wang Y; Wang Y; Xu L
    Comput Math Methods Med; 2022; 2022():7843990. PubMed ID: 35211187
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integration of biological networks and pathways with genetic association studies.
    Sun YV
    Hum Genet; 2012 Oct; 131(10):1677-86. PubMed ID: 22777728
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Gene, pathway and network frameworks to identify epistatic interactions of single nucleotide polymorphisms derived from GWAS data.
    Liu Y; Maxwell S; Feng T; Zhu X; Elston RC; Koyutürk M; Chance MR
    BMC Syst Biol; 2012; 6 Suppl 3(Suppl 3):S15. PubMed ID: 23281810
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Analyzing the genes related to Alzheimer's disease via a network and pathway-based approach.
    Hu YS; Xin J; Hu Y; Zhang L; Wang J
    Alzheimers Res Ther; 2017 Apr; 9(1):29. PubMed ID: 28446202
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Application of gene-based logistic kernel-machine regression model on studies related to the genome-wide association].
    Wo HM; Yi HG; Pan HX; Tang SW; Zhao Y; Chen F
    Zhonghua Liu Xing Bing Xue Za Zhi; 2013 Jun; 34(6):633-6. PubMed ID: 24125621
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Modeling regulatory network topology improves genome-wide analyses of complex human traits.
    Zhu X; Duren Z; Wong WH
    Nat Commun; 2021 May; 12(1):2851. PubMed ID: 33990562
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of pathway analysis approaches using lung cancer GWAS data sets.
    Fehringer G; Liu G; Briollais L; Brennan P; Amos CI; Spitz MR; Bickeböller H; Wichmann HE; Risch A; Hung RJ
    PLoS One; 2012; 7(2):e31816. PubMed ID: 22363742
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Gene and pathway-based second-wave analysis of genome-wide association studies.
    Peng G; Luo L; Siu H; Zhu Y; Hu P; Hong S; Zhao J; Zhou X; Reveille JD; Jin L; Amos CI; Xiong M
    Eur J Hum Genet; 2010 Jan; 18(1):111-7. PubMed ID: 19584899
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.