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 *

221 related articles for article (PubMed ID: 18485205)

  • 1. Alternative contingency table measures improve the power and detection of multifactor dimensionality reduction.
    Bush WS; Edwards TL; Dudek SM; McKinney BA; Ritchie MD
    BMC Bioinformatics; 2008 May; 9():238. PubMed ID: 18485205
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multiobjective differential evolution-based multifactor dimensionality reduction for detecting gene-gene interactions.
    Yang CH; Chuang LY; Lin YD
    Sci Rep; 2017 Oct; 7(1):12869. PubMed ID: 28993686
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Log-linear model-based multifactor dimensionality reduction method to detect gene gene interactions.
    Lee SY; Chung Y; Elston RC; Kim Y; Park T
    Bioinformatics; 2007 Oct; 23(19):2589-95. PubMed ID: 17872915
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity.
    Ritchie MD; Hahn LW; Moore JH
    Genet Epidemiol; 2003 Feb; 24(2):150-7. PubMed ID: 12548676
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MDR-ER: balancing functions for adjusting the ratio in risk classes and classification errors for imbalanced cases and controls using multifactor-dimensionality reduction.
    Yang CH; Lin YD; Chuang LY; Chen JB; Chang HW
    PLoS One; 2013; 8(11):e79387. PubMed ID: 24236125
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An empirical fuzzy multifactor dimensionality reduction method for detecting gene-gene interactions.
    Leem S; Park T
    BMC Genomics; 2017 Mar; 18(Suppl 2):115. PubMed ID: 28361694
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A comparative study on the unified model based multifactor dimensionality reduction methods for identifying gene-gene interactions associated with the survival phenotype.
    Lee JW; Lee S
    BioData Min; 2021 Mar; 14(1):17. PubMed ID: 33648540
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Pair-wise multifactor dimensionality reduction method to detect gene-gene interactions in a case-control study.
    He H; Oetting WS; Brott MJ; Basu S
    Hum Hered; 2010; 69(1):60-70. PubMed ID: 19797910
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A cross-validation procedure for general pedigrees and matched odds ratio fitness metric implemented for the multifactor dimensionality reduction pedigree disequilibrium test.
    Edwards TL; Torstensen E; Dudek S; Martin ER; Ritchie MD
    Genet Epidemiol; 2010 Feb; 34(2):194-9. PubMed ID: 19697353
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dimensionality reduction approach for many-objective epistasis analysis.
    Yang CH; Hou MF; Chuang LY; Yang CS; Lin YD
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36458451
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Model-Based Multifactor Dimensionality Reduction to detect epistasis for quantitative traits in the presence of error-free and noisy data.
    Mahachie John JM; Van Lishout F; Van Steen K
    Eur J Hum Genet; 2011 Jun; 19(6):696-703. PubMed ID: 21407267
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A unified model based multifactor dimensionality reduction framework for detecting gene-gene interactions.
    Yu W; Lee S; Park T
    Bioinformatics; 2016 Sep; 32(17):i605-i610. PubMed ID: 27587680
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Model-based multifactor dimensionality reduction for detecting epistasis in case-control data in the presence of noise.
    Cattaert T; Calle ML; Dudek SM; Mahachie John JM; Van Lishout F; Urrea V; Ritchie MD; Van Steen K
    Ann Hum Genet; 2011 Jan; 75(1):78-89. PubMed ID: 21158747
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Detecting gene-gene/environment interactions by model-based multifactor dimensionality reduction].
    Fan W; Shen C; Guo Z
    Zhonghua Liu Xing Bing Xue Za Zhi; 2015 Nov; 36(11):1305-10. PubMed ID: 26850256
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Odds ratio based multifactor-dimensionality reduction method for detecting gene-gene interactions.
    Chung Y; Lee SY; Elston RC; Park T
    Bioinformatics; 2007 Jan; 23(1):71-6. PubMed ID: 17092990
    [TBL] [Abstract][Full Text] [Related]  

  • 16. New evaluation measures for multifactor dimensionality reduction classifiers in gene-gene interaction analysis.
    Namkung J; Kim K; Yi S; Chung W; Kwon MS; Park T
    Bioinformatics; 2009 Feb; 25(3):338-45. PubMed ID: 19164302
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multiple-Criteria Decision Analysis-Based Multifactor Dimensionality Reduction for Detecting Gene-Gene Interactions.
    Yang CH; Lin YD; Chuang LY
    IEEE J Biomed Health Inform; 2019 Jan; 23(1):416-426. PubMed ID: 29993963
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Power of multifactor dimensionality reduction and penalized logistic regression for detecting gene-gene interaction in a case-control study.
    He H; Oetting WS; Brott MJ; Basu S
    BMC Med Genet; 2009 Dec; 10():127. PubMed ID: 19961594
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of information-theoretic to statistical methods for gene-gene interactions in the presence of genetic heterogeneity.
    Sucheston L; Chanda P; Zhang A; Tritchler D; Ramanathan M
    BMC Genomics; 2010 Sep; 11():487. PubMed ID: 20815886
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Spatial rank-based multifactor dimensionality reduction to detect gene-gene interactions for multivariate phenotypes.
    Park M; Jeong HB; Lee JH; Park T
    BMC Bioinformatics; 2021 Oct; 22(1):480. PubMed ID: 34607566
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.