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Items: 1 to 20 of 666

1.

Genetic studies of complex human diseases: characterizing SNP-disease associations using Bayesian networks.

Han B, Chen XW, Talebizadeh Z, Xu H.

BMC Syst Biol. 2012;6 Suppl 3:S14. doi: 10.1186/1752-0509-6-S3-S14. Epub 2012 Dec 17.

2.

bNEAT: a Bayesian network method for detecting epistatic interactions in genome-wide association studies.

Han B, Chen XW.

BMC Genomics. 2011;12 Suppl 2:S9. doi: 10.1186/1471-2164-12-S2-S9. Epub 2011 Jul 27.

3.

A Markov blanket-based method for detecting causal SNPs in GWAS.

Han B, Park M, Chen XW.

BMC Bioinformatics. 2010 Apr 29;11 Suppl 3:S5. doi: 10.1186/1471-2105-11-S3-S5.

4.

FEPI-MB: identifying SNPs-disease association using a Markov Blanket-based approach.

Han B, Chen XW, Talebizadeh Z.

BMC Bioinformatics. 2011 Nov 24;12 Suppl 12:S3. doi: 10.1186/1471-2105-12-S12-S3.

5.

A Bayesian model for detection of high-order interactions among genetic variants in genome-wide association studies.

Wang J, Joshi T, Valliyodan B, Shi H, Liang Y, Nguyen HT, Zhang J, Xu D.

BMC Genomics. 2015 Nov 25;16:1011. doi: 10.1186/s12864-015-2217-6.

6.

Mining pure, strict epistatic interactions from high-dimensional datasets: ameliorating the curse of dimensionality.

Jiang X, Neapolitan RE.

PLoS One. 2012;7(10):e46771. doi: 10.1371/journal.pone.0046771. Epub 2012 Oct 12.

7.

Learning genetic epistasis using Bayesian network scoring criteria.

Jiang X, Neapolitan RE, Barmada MM, Visweswaran S.

BMC Bioinformatics. 2011 Mar 31;12:89. doi: 10.1186/1471-2105-12-89.

8.

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 1;26(1):30-7. doi: 10.1093/bioinformatics/btp622. Epub 2009 Oct 30.

PMID:
19880365
9.

Bayesian inference of epistatic interactions in case-control studies.

Zhang Y, Liu JS.

Nat Genet. 2007 Sep;39(9):1167-73. Epub 2007 Aug 26.

PMID:
17721534
10.

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 15;25(4):504-11. doi: 10.1093/bioinformatics/btn652. Epub 2008 Dec 19.

PMID:
19098029
11.

Bayesian variable and model selection methods for genetic association studies.

Fridley BL.

Genet Epidemiol. 2009 Jan;33(1):27-37. doi: 10.1002/gepi.20353.

PMID:
18618760
12.

MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study.

Wan X, Yang C, Yang Q, Xue H, Tang NL, Yu W.

BMC Bioinformatics. 2009 Jan 9;10:13. doi: 10.1186/1471-2105-10-13.

13.

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.

14.

Cloud computing for detecting high-order genome-wide epistatic interaction via dynamic clustering.

Guo X, Meng Y, Yu N, Pan Y.

BMC Bioinformatics. 2014 Apr 10;15:102. doi: 10.1186/1471-2105-15-102.

15.

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. doi: 10.1038/hdy.2014.4. Epub 2014 Feb 19.

16.

LEAP: biomarker inference through learning and evaluating association patterns.

Jiang X, Neapolitan RE.

Genet Epidemiol. 2015 Mar;39(3):173-84. doi: 10.1002/gepi.21889. Epub 2015 Feb 12.

17.
18.

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. doi: 10.1016/j.compbiolchem.2014.01.005. Epub 2014 Jan 27.

PMID:
24581733
19.

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:S10. doi: 10.1186/1471-2164-14-S3-S10. Epub 2013 May 28.

20.

Alternative methods for H1 simulations in genome-wide association studies.

Perduca V, Sinoquet C, Mourad R, Nuel G.

Hum Hered. 2012;73(2):95-104. doi: 10.1159/000336194. Epub 2012 Mar 28.

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