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Items: 1 to 20 of 239


Lower-order effects adjustment in quantitative traits model-based multifactor dimensionality reduction.

Mahachie John JM, Cattaert T, Lishout FV, Gusareva ES, Steen KV.

PLoS One. 2012;7(1):e29594. doi: 10.1371/journal.pone.0029594. Epub 2012 Jan 5.


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. doi: 10.1038/ejhg.2011.17. Epub 2011 Mar 16.


Breast cancer-associated high-order SNP-SNP interaction of CXCL12/CXCR4-related genes by an improved multifactor dimensionality reduction (MDR-ER).

Fu OY, Chang HW, Lin YD, Chuang LY, Hou MF, Yang CH.

Oncol Rep. 2016 Sep;36(3):1739-47. doi: 10.3892/or.2016.4956. Epub 2016 Jul 21.


A screening methodology based on Random Forests to improve the detection of gene-gene interactions.

De Lobel L, Geurts P, Baele G, Castro-Giner F, Kogevinas M, Van Steen K.

Eur J Hum Genet. 2010 Oct;18(10):1127-32. doi: 10.1038/ejhg.2010.48. Epub 2010 May 12.


A novel survival multifactor dimensionality reduction method for detecting gene-gene interactions with application to bladder cancer prognosis.

Gui J, Moore JH, Kelsey KT, Marsit CJ, Karagas MR, Andrew AS.

Hum Genet. 2011 Jan;129(1):101-10. doi: 10.1007/s00439-010-0905-5. Epub 2010 Oct 28.


A simple and computationally efficient sampling approach to covariate adjustment for multifactor dimensionality reduction analysis of epistasis.

Gui J, Andrew AS, Andrews P, Nelson HM, Kelsey KT, Karagas MR, Moore JH.

Hum Hered. 2010;70(3):219-25. doi: 10.1159/000319175. Epub 2010 Oct 1.


Evaluating the ability of tree-based methods and logistic regression for the detection of SNP-SNP interaction.

García-Magariños M, López-de-Ullibarri I, Cao R, Salas A.

Ann Hum Genet. 2009 May;73(Pt 3):360-9. doi: 10.1111/j.1469-1809.2009.00511.x. Epub 2009 Mar 8.


A robustness study of parametric and non-parametric tests in model-based multifactor dimensionality reduction for epistasis detection.

Mahachie John JM, Van Lishout F, Gusareva ES, Van Steen K.

BioData Min. 2013 Apr 25;6(1):9. doi: 10.1186/1756-0381-6-9.


SVM-based generalized multifactor dimensionality reduction approaches for detecting gene-gene interactions in family studies.

Fang YH, Chiu YF.

Genet Epidemiol. 2012 Feb;36(2):88-98. doi: 10.1002/gepi.21602.


Detection of SNP epistasis effects of quantitative traits using an extended Kempthorne model.

Mao Y, London NR, Ma L, Dvorkin D, Da Y.

Physiol Genomics. 2006 Dec 13;28(1):46-52. Epub 2006 Aug 29.


FAM-MDR: a flexible family-based multifactor dimensionality reduction technique to detect epistasis using related individuals.

Cattaert T, Urrea V, Naj AC, De Lobel L, De Wit V, Fu M, Mahachie John JM, Shen H, Calle ML, Ritchie MD, Edwards TL, Van Steen K.

PLoS One. 2010 Apr 22;5(4):e10304. doi: 10.1371/journal.pone.0010304.


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. doi: 10.1111/j.1469-1809.2010.00604.x. Epub 2010 Sep 8.


A modified entropy-based approach for identifying gene-gene interactions in case-control study.

Yee J, Kwon MS, Park T, Park M.

PLoS One. 2013 Jul 18;8(7):e69321. doi: 10.1371/journal.pone.0069321. Print 2013.


Epistasis analysis using multifactor dimensionality reduction.

Moore JH, Andrews PC.

Methods Mol Biol. 2015;1253:301-14. doi: 10.1007/978-1-4939-2155-3_16.


Gene-gene interaction analysis for the survival phenotype based on the Cox model.

Lee S, Kwon MS, Oh JM, Park T.

Bioinformatics. 2012 Sep 15;28(18):i582-i588. doi: 10.1093/bioinformatics/bts415.


Enabling personal genomics with an explicit test of epistasis.

Greene CS, Himmelstein DS, Nelson HH, Kelsey KT, Williams SM, Andrew AS, Karagas MR, Moore JH.

Pac Symp Biocomput. 2010:327-36.


A comparison of multifactor dimensionality reduction and L1-penalized regression to identify gene-gene interactions in genetic association studies.

Winham S, Wang C, Motsinger-Reif AA.

Stat Appl Genet Mol Biol. 2011;10:Article 4. doi: 10.2202/1544-6115.1613. Epub 2011 Jan 6.


An efficiency analysis of high-order combinations of gene-gene interactions using multifactor-dimensionality reduction.

Yang CH, Lin YD, Yang CS, Chuang LY.

BMC Genomics. 2015 Jul 1;16:489. doi: 10.1186/s12864-015-1717-8.


Multivariate dimensionality reduction approaches to identify gene-gene and gene-environment interactions underlying multiple complex traits.

Xu HM, Sun XW, Qi T, Lin WY, Liu N, Lou XY.

PLoS One. 2014 Sep 26;9(9):e108103. doi: 10.1371/journal.pone.0108103. eCollection 2014.

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