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Items: 1 to 20 of 478

1.

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.

2.

A computationally efficient hypothesis testing method for epistasis analysis using multifactor dimensionality reduction.

Pattin KA, White BC, Barney N, Gui J, Nelson HH, Kelsey KT, Andrew AS, Karagas MR, Moore JH.

Genet Epidemiol. 2009 Jan;33(1):87-94. doi: 10.1002/gepi.20360.

3.

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.

4.

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.

5.

A robust multifactor dimensionality reduction method for detecting gene-gene interactions with application to the genetic analysis of bladder cancer susceptibility.

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

Ann Hum Genet. 2011 Jan;75(1):20-8. doi: 10.1111/j.1469-1809.2010.00624.x. Epub 2010 Nov 22.

6.

Epistasis, complexity, and multifactor dimensionality reduction.

Pan Q, Hu T, Moore JH.

Methods Mol Biol. 2013;1019:465-77. doi: 10.1007/978-1-62703-447-0_22. Review.

PMID:
23756906
7.

Comparative analysis of methods for detecting interacting loci.

Chen L, Yu G, Langefeld CD, Miller DJ, Guy RT, Raghuram J, Yuan X, Herrington DM, Wang Y.

BMC Genomics. 2011 Jul 5;12:344. doi: 10.1186/1471-2164-12-344.

8.

A general framework for formal tests of interaction after exhaustive search methods with applications to MDR and MDR-PDT.

Edwards TL, Turner SD, Torstenson ES, Dudek SM, Martin ER, Ritchie MD.

PLoS One. 2010 Feb 23;5(2):e9363. doi: 10.1371/journal.pone.0009363.

9.

Detecting purely epistatic multi-locus interactions by an omnibus permutation test on ensembles of two-locus analyses.

Wongseree W, Assawamakin A, Piroonratana T, Sinsomros S, Limwongse C, Chaiyaratana N.

BMC Bioinformatics. 2009 Sep 17;10:294. doi: 10.1186/1471-2105-10-294.

10.

A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility.

Moore JH, Gilbert JC, Tsai CT, Chiang FT, Holden T, Barney N, White BC.

J Theor Biol. 2006 Jul 21;241(2):252-61. Epub 2006 Feb 2.

PMID:
16457852
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. doi: 10.1038/ejhg.2011.17. Epub 2011 Mar 16.

12.

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.

14.
15.

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 4;10:127. doi: 10.1186/1471-2350-10-127.

16.

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.

17.

An efficient algorithm to perform multiple testing in epistasis screening.

Van Lishout F, Mahachie John JM, Gusareva ES, Urrea V, Cleynen I, Théâtre E, Charloteaux B, Calle ML, Wehenkel L, Van Steen K.

BMC Bioinformatics. 2013 Apr 24;14:138. doi: 10.1186/1471-2105-14-138.

18.

Role of genetic heterogeneity and epistasis in bladder cancer susceptibility and outcome: a learning classifier system approach.

Urbanowicz RJ, Andrew AS, Karagas MR, Moore JH.

J Am Med Inform Assoc. 2013 Jul-Aug;20(4):603-12. doi: 10.1136/amiajnl-2012-001574. Epub 2013 Feb 26.

19.

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. doi: 10.1159/000243155. Epub 2009 Oct 2.

PMID:
19797910
20.

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.

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