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 *

158 related articles for article (PubMed ID: 23421496)

  • 1. The complete compositional epistasis detection in genome-wide association studies.
    Wan X; Yang C; Yang Q; Zhao H; Yu W
    BMC Genet; 2013 Feb; 14():7. PubMed ID: 23421496
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Performance of epistasis detection methods in semi-simulated GWAS.
    Chatelain C; Durand G; Thuillier V; Augé F
    BMC Bioinformatics; 2018 Jun; 19(1):231. PubMed ID: 29914375
    [TBL] [Abstract][Full Text] [Related]  

  • 3. GBOOST: a GPU-based tool for detecting gene-gene interactions in genome-wide case control studies.
    Yung LS; Yang C; Wan X; Yu W
    Bioinformatics; 2011 May; 27(9):1309-10. PubMed ID: 21372087
    [TBL] [Abstract][Full Text] [Related]  

  • 4. High-throughput analysis of epistasis in genome-wide association studies with BiForce.
    Gyenesei A; Moody J; Semple CA; Haley CS; Wei WH
    Bioinformatics; 2012 Aug; 28(15):1957-64. PubMed ID: 22618535
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Epistasis detection on quantitative phenotypes by exhaustive enumeration using GPUs.
    Kam-Thong T; Pütz B; Karbalai N; Müller-Myhsok B; Borgwardt K
    Bioinformatics; 2011 Jul; 27(13):i214-21. PubMed ID: 21685073
    [TBL] [Abstract][Full Text] [Related]  

  • 6. GWIS--model-free, fast and exhaustive search for epistatic interactions in case-control GWAS.
    Goudey B; Rawlinson D; Wang Q; Shi F; Ferra H; Campbell RM; Stern L; Inouye MT; Ong CS; Kowalczyk A
    BMC Genomics; 2013; 14 Suppl 3(Suppl 3):S10. PubMed ID: 23819779
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Protocol for Epistasis Detection with Machine Learning Using GenEpi Package.
    Petinrin OO; Wong KC
    Methods Mol Biol; 2021; 2212():291-305. PubMed ID: 33733363
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prioritizing tests of epistasis through hierarchical representation of genomic redundancies.
    Cowman T; Koyutürk M
    Nucleic Acids Res; 2017 Aug; 45(14):e131. PubMed ID: 28605458
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An empirical comparison of several recent epistatic interaction detection methods.
    Wang Y; Liu G; Feng M; Wong L
    Bioinformatics; 2011 Nov; 27(21):2936-43. PubMed ID: 21903628
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predictive rule inference for epistatic interaction detection in genome-wide association studies.
    Wan X; Yang C; Yang Q; Xue H; Tang NL; Yu W
    Bioinformatics; 2010 Jan; 26(1):30-7. PubMed ID: 19880365
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A hidden two-locus disease association pattern in genome-wide association studies.
    Yang C; Wan X; Yang Q; Xue H; Tang NL; Yu W
    BMC Bioinformatics; 2011 May; 12():156. PubMed ID: 21569557
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Using biological knowledge to uncover the mystery in the search for epistasis in genome-wide association studies.
    Ritchie MD
    Ann Hum Genet; 2011 Jan; 75(1):172-82. PubMed ID: 21158748
    [TBL] [Abstract][Full Text] [Related]  

  • 13. WISH-R- a fast and efficient tool for construction of epistatic networks for complex traits and diseases.
    Carmelo VAO; Kogelman LJA; Madsen MB; Kadarmideen HN
    BMC Bioinformatics; 2018 Jul; 19(1):277. PubMed ID: 30064383
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Eigen-Epistasis for detecting gene-gene interactions.
    Stanislas V; Dalmasso C; Ambroise C
    BMC Bioinformatics; 2017 Jan; 18(1):54. PubMed ID: 28114904
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Epistasis Test in Meta-Analysis: A Multi-Parameter Markov Chain Monte Carlo Model for Consistency of Evidence.
    Lin C; Chu CM; Su SL
    PLoS One; 2016; 11(4):e0152891. PubMed ID: 27045371
    [TBL] [Abstract][Full Text] [Related]  

  • 16. eCEO: an efficient Cloud Epistasis cOmputing model in genome-wide association study.
    Wang Z; Wang Y; Tan KL; Wong L; Agrawal D
    Bioinformatics; 2011 Apr; 27(8):1045-51. PubMed ID: 21367868
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Parallel and serial computing tools for testing single-locus and epistatic SNP effects of quantitative traits in genome-wide association studies.
    Ma L; Runesha HB; Dvorkin D; Garbe JR; Da Y
    BMC Bioinformatics; 2008 Jul; 9():315. PubMed ID: 18644146
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Cuckoo search epistasis: a new method for exploring significant genetic interactions.
    Aflakparast M; Salimi H; Gerami A; Dubé MP; Visweswaran S; Masoudi-Nejad A
    Heredity (Edinb); 2014 Jun; 112(6):666-74. PubMed ID: 24549111
    [TBL] [Abstract][Full Text] [Related]  

  • 19. COE: a general approach for efficient genome-wide two-locus epistasis test in disease association study.
    Zhang X; Pan F; Xie Y; Zou F; Wang W
    J Comput Biol; 2010 Mar; 17(3):401-15. PubMed ID: 20377453
    [TBL] [Abstract][Full Text] [Related]  

  • 20. EpiGPU: exhaustive pairwise epistasis scans parallelized on consumer level graphics cards.
    Hemani G; Theocharidis A; Wei W; Haley C
    Bioinformatics; 2011 Jun; 27(11):1462-5. PubMed ID: 21471009
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.