Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 365

1.

Multiple testing in genome-wide association studies via hidden Markov models.

Wei Z, Sun W, Wang K, Hakonarson H.

Bioinformatics. 2009 Nov 1;25(21):2802-8. doi: 10.1093/bioinformatics/btp476. Epub 2009 Aug 4.

PMID:
19654115
2.

Large-scale multiple testing in genome-wide association studies via region-specific hidden Markov models.

Xiao J, Zhu W, Guo J.

BMC Bioinformatics. 2013 Sep 25;14:282. doi: 10.1186/1471-2105-14-282.

3.

Hidden Markov models for controlling false discovery rate in genome-wide association analysis.

Wei Z.

Methods Mol Biol. 2012;802:337-44. doi: 10.1007/978-1-61779-400-1_22.

PMID:
22130891
4.

SNP-based pathway enrichment analysis for genome-wide association studies.

Weng L, Macciardi F, Subramanian A, Guffanti G, Potkin SG, Yu Z, Xie X.

BMC Bioinformatics. 2011 Apr 15;12:99. doi: 10.1186/1471-2105-12-99.

5.

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.

6.

INTERSNP: genome-wide interaction analysis guided by a priori information.

Herold C, Steffens M, Brockschmidt FF, Baur MP, Becker T.

Bioinformatics. 2009 Dec 15;25(24):3275-81. doi: 10.1093/bioinformatics/btp596. Epub 2009 Oct 16.

PMID:
19837719
7.

Uncovering networks from genome-wide association studies via circular genomic permutation.

Cabrera CP, Navarro P, Huffman JE, Wright AF, Hayward C, Campbell H, Wilson JF, Rudan I, Hastie ND, Vitart V, Haley CS.

G3 (Bethesda). 2012 Sep;2(9):1067-75. doi: 10.1534/g3.112.002618. Epub 2012 Sep 1.

8.

Snat: a SNP annotation tool for bovine by integrating various sources of genomic information.

Jiang J, Jiang L, Zhou B, Fu W, Liu JF, Zhang Q.

BMC Genet. 2011 Oct 7;12:85. doi: 10.1186/1471-2156-12-85.

9.

A hidden Markov random field model for genome-wide association studies.

Li H, Wei Z, Maris J.

Biostatistics. 2010 Jan;11(1):139-50. doi: 10.1093/biostatistics/kxp043. Epub 2009 Oct 12.

10.

Covariate-modulated local false discovery rate for genome-wide association studies.

Zablocki RW, Schork AJ, Levine RA, Andreassen OA, Dale AM, Thompson WK.

Bioinformatics. 2014 Aug 1;30(15):2098-104. doi: 10.1093/bioinformatics/btu145. Epub 2014 Apr 7.

11.

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
12.

SNPassoc: an R package to perform whole genome association studies.

González JR, Armengol L, Solé X, Guinó E, Mercader JM, Estivill X, Moreno V.

Bioinformatics. 2007 Mar 1;23(5):644-5. Epub 2007 Jan 31.

PMID:
17267436
13.

adegenet 1.3-1: new tools for the analysis of genome-wide SNP data.

Jombart T, Ahmed I.

Bioinformatics. 2011 Nov 1;27(21):3070-1. doi: 10.1093/bioinformatics/btr521. Epub 2011 Sep 16.

14.

Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies.

Hao K, Chudin E, McElwee J, Schadt EE.

BMC Genet. 2009 Jun 16;10:27. doi: 10.1186/1471-2156-10-27.

15.

repfdr: a tool for replicability analysis for genome-wide association studies.

Heller R, Yaacoby S, Yekutieli D.

Bioinformatics. 2014 Oct 15;30(20):2971-2. doi: 10.1093/bioinformatics/btu434. Epub 2014 Jul 9.

PMID:
25012182
16.

Pathway analysis of genome-wide association studies for Parkinson's disease.

Song GG, Lee YH.

Mol Biol Rep. 2013 Mar;40(3):2599-607. doi: 10.1007/s11033-012-2346-9. Epub 2012 Dec 13.

PMID:
23238920
17.

A knowledge-based weighting framework to boost the power of genome-wide association studies.

Li MX, Sham PC, Cherny SS, Song YQ.

PLoS One. 2010 Dec 31;5(12):e14480. doi: 10.1371/journal.pone.0014480.

18.

GAPIT: genome association and prediction integrated tool.

Lipka AE, Tian F, Wang Q, Peiffer J, Li M, Bradbury PJ, Gore MA, Buckler ES, Zhang Z.

Bioinformatics. 2012 Sep 15;28(18):2397-9. Epub 2012 Jul 13.

PMID:
22796960
19.
20.

Identifying disease-associated SNP clusters via contiguous outlier detection.

Yang C, Zhou X, Wan X, Yang Q, Xue H, Yu W.

Bioinformatics. 2011 Sep 15;27(18):2578-85. doi: 10.1093/bioinformatics/btr424. Epub 2011 Jul 22.

PMID:
21784794

Supplemental Content

Support Center