BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

87 related articles for article (PubMed ID: 26369336)

  • 1. Chi8: a GPU program for detecting significant interacting SNPs with the Chi-square 8-df test.
    Al-jouie A; Esfandiari M; Ramakrishnan S; Roshan U
    BMC Res Notes; 2015 Sep; 8():436. PubMed ID: 26369336
    [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. 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]  

  • 4. Gene-Gene Interactions Detection Using a Two-stage Model.
    Wang Z; Sul JH; Snir S; Lozano JA; Eskin E
    J Comput Biol; 2015 Jun; 22(6):563-76. PubMed ID: 25871811
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. A Tool for Detecting Complementary Single Nucleotide Polymorphism Pairs in Genome-Wide Association Studies for Epistasis Testing.
    Caylak G; Tastan O; Cicek AE
    J Comput Biol; 2021 Apr; 28(4):378-380. PubMed ID: 33325775
    [No Abstract]   [Full Text] [Related]  

  • 7. 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]  

  • 8. SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies.
    Yang C; He Z; Wan X; Yang Q; Xue H; Yu W
    Bioinformatics; 2009 Feb; 25(4):504-11. PubMed ID: 19098029
    [TBL] [Abstract][Full Text] [Related]  

  • 9. iLOCi: a SNP interaction prioritization technique for detecting epistasis in genome-wide association studies.
    Piriyapongsa J; Ngamphiw C; Intarapanich A; Kulawonganunchai S; Assawamakin A; Bootchai C; Shaw PJ; Tongsima S
    BMC Genomics; 2012; 13 Suppl 7(Suppl 7):S2. PubMed ID: 23281813
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS.
    Greene CS; Sinnott-Armstrong NA; Himmelstein DS; Park PJ; Moore JH; Harris BT
    Bioinformatics; 2010 Mar; 26(5):694-5. PubMed ID: 20081222
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multiple testing in genome-wide association studies via hidden Markov models.
    Wei Z; Sun W; Wang K; Hakonarson H
    Bioinformatics; 2009 Nov; 25(21):2802-8. PubMed ID: 19654115
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Fast detection of high-order epistatic interactions in genome-wide association studies using information theoretic measure.
    Leem S; Jeong HH; Lee J; Wee K; Sohn KA
    Comput Biol Chem; 2014 Jun; 50():19-28. PubMed ID: 24581733
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Testing association with interactions by partitioning chi-squares.
    Yang Y; He C; Ott J
    Ann Hum Genet; 2009 Jan; 73(1):109-17. PubMed ID: 18798840
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Potpourri: An Epistasis Test Prioritization Algorithm via Diverse SNP Selection.
    Caylak G; Tastan O; Cicek AE
    J Comput Biol; 2021 Apr; 28(4):365-377. PubMed ID: 33275856
    [No Abstract]   [Full Text] [Related]  

  • 16. 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]  

  • 17. A novel two-stage approach for epistasis detection in genome-wide case-control studies.
    Liao Z; Zeng Q; Liao B; Li X
    Biochem Genet; 2014 Oct; 52(9-10):403-14. PubMed ID: 24880910
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS.
    Davis NA; Pandey A; McKinney BA
    Bioinformatics; 2011 Jan; 27(2):284-5. PubMed ID: 21115438
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.