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Items: 1 to 20 of 132

1.

Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals.

Holzinger ER, Verma SS, Moore CB, Hall M, De R, Gilbert-Diamond D, Lanktree MB, Pankratz N, Amuzu A, Burt A, Dale C, Dudek S, Furlong CE, Gaunt TR, Kim DS, Riess H, Sivapalaratnam S, Tragante V, van Iperen EPA, Brautbar A, Carrell DS, Crosslin DR, Jarvik GP, Kuivaniemi H, Kullo IJ, Larson EB, Rasmussen-Torvik LJ, Tromp G, Baumert J, Cruickshanks KJ, Farrall M, Hingorani AD, Hovingh GK, Kleber ME, Klein BE, Klein R, Koenig W, Lange LA, Mӓrz W, North KE, Charlotte Onland-Moret N, Reiner AP, Talmud PJ, van der Schouw YT, Wilson JG, Kivimaki M, Kumari M, Moore JH, Drenos F, Asselbergs FW, Keating BJ, Ritchie MD.

BioData Min. 2017 Jul 24;10:25. doi: 10.1186/s13040-017-0145-5. eCollection 2017.

2.

Implementing Optimal Allocation in Clinical Trials with Multiple Endpoints.

Wang L, Chen Y, Zhu H.

J Stat Plan Inference. 2017 Mar;182:88-99. doi: 10.1016/j.jspi.2016.09.002. Epub 2016 Oct 7.

PMID:
28529406
3.

Hyper-Methylated Loci Persisting from Sessile Serrated Polyps to Serrated Cancers.

Andrew AS, Baron JA, Butterly LF, Suriawinata AA, Tsongalis GJ, Robinson CM, Amos CI.

Int J Mol Sci. 2017 Mar 2;18(3). pii: E535. doi: 10.3390/ijms18030535.

4.

Variant Set Enrichment: an R package to identify disease-associated functional genomic regions.

Ahmed M, Sallari RC, Guo H, Moore JH, He HH, Lupien M.

BioData Min. 2017 Feb 22;10:9. doi: 10.1186/s13040-017-0129-5. eCollection 2017.

5.

Complex systems analysis of bladder cancer susceptibility reveals a role for decarboxylase activity in two genome-wide association studies.

Cheng S, Andrew AS, Andrews PC, Moore JH.

BioData Min. 2016 Dec 12;9:40. doi: 10.1186/s13040-016-0119-z. eCollection 2016.

6.

Big Data Bioinformatics.

Chen XW, Gao JX.

Methods. 2016 Dec 1;111:1-2. doi: 10.1016/j.ymeth.2016.11.017. No abstract available.

PMID:
27908398
7.

MISSING DATA IMPUTATION IN THE ELECTRONIC HEALTH RECORD USING DEEPLY LEARNED AUTOENCODERS.

Beaulieu-Jones BK, Moore JH.

Pac Symp Biocomput. 2016;22:207-218. doi: 10.1142/9789813207813_0021.

8.

Going global by adapting local: A review of recent human adaptation.

Fan S, Hansen ME, Lo Y, Tishkoff SA.

Science. 2016 Oct 7;354(6308):54-59. Review.

9.

Identifying significant gene-environment interactions using a combination of screening testing and hierarchical false discovery rate control.

Frost HR, Shen L, Saykin AJ, Williams SM, Moore JH; Alzheimer's Disease Neuroimaging Initiative.

Genet Epidemiol. 2016 Nov;40(7):544-557. doi: 10.1002/gepi.21997. Epub 2016 Aug 31.

10.

Two-dimensional enrichment analysis for mining high-level imaging genetic associations.

Yao X, Yan J, Kim S, Nho K, Risacher SL, Inlow M, Moore JH, Saykin AJ, Shen L.

Brain Inform. 2017 Mar;4(1):27-37. doi: 10.1007/s40708-016-0052-4. Epub 2016 May 13.

11.

Structured sparse CCA for brain imaging genetics via graph OSCAR.

Du L, Huang H, Yan J, Kim S, Risacher S, Inlow M, Moore J, Saykin A, Shen L; Alzheimer’s Disease Neuroimaging Initiative.

BMC Syst Biol. 2016 Aug 26;10 Suppl 3:68. doi: 10.1186/s12918-016-0312-1.

12.

Integrative genomics analyses unveil downstream biological effectors of disease-specific polymorphisms buried in intergenic regions.

Li H, Achour I, Bastarache L, Berghout J, Gardeux V, Li J, Lee Y, Pesce L, Yang X, Ramos KS, Foster I, Denny JC, Moore JH, Lussier YA.

NPJ Genom Med. 2016;1. pii: 16006. Epub 2016 Apr 27.

13.

Studying the Genetics of Complex Disease With Ancestry-Specific Human Phenotype Networks: The Case of Type 2 Diabetes in East Asian Populations.

Qiu J, Moore JH, Darabos C.

Genet Epidemiol. 2016 May;40(4):293-303. doi: 10.1002/gepi.21964. Epub 2016 Apr 7.

14.

Detecting gene-gene interactions using a permutation-based random forest method.

Li J, Malley JD, Andrew AS, Karagas MR, Moore JH.

BioData Min. 2016 Apr 6;9:14. doi: 10.1186/s13040-016-0093-5. eCollection 2016.

15.

A Locus at 5q33.3 Confers Resistance to Tuberculosis in Highly Susceptible Individuals.

Sobota RS, Stein CM, Kodaman N, Scheinfeldt LB, Maro I, Wieland-Alter W, Igo RP Jr, Magohe A, Malone LL, Chervenak K, Hall NB, Modongo C, Zetola N, Matee M, Joloba M, Froment A, Nyambo TB, Moore JH, Scott WK, Lahey T, Boom WH, von Reyn CF, Tishkoff SA, Sirugo G, Williams SM.

Am J Hum Genet. 2016 Mar 3;98(3):514-524. doi: 10.1016/j.ajhg.2016.01.015.

17.

Association of Cesarean Delivery and Formula Supplementation With the Intestinal Microbiome of 6-Week-Old Infants.

Madan JC, Hoen AG, Lundgren SN, Farzan SF, Cottingham KL, Morrison HG, Sogin ML, Li H, Moore JH, Karagas MR.

JAMA Pediatr. 2016 Mar;170(3):212-9. doi: 10.1001/jamapediatrics.2015.3732.

18.

Characterizing gene-gene interactions in a statistical epistasis network of twelve candidate genes for obesity.

De R, Hu T, Moore JH, Gilbert-Diamond D.

BioData Min. 2015 Dec 29;8:45. doi: 10.1186/s13040-015-0077-x. eCollection 2015.

19.

Meta-analysis of Complex Diseases at Gene Level with Generalized Functional Linear Models.

Fan R, Wang Y, Chiu CY, Chen W, Ren H, Li Y, Boehnke M, Amos CI, Moore JH, Xiong M.

Genetics. 2016 Feb;202(2):457-70. doi: 10.1534/genetics.115.180869. Epub 2015 Dec 29.

20.

Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networks.

Hu T, Andrew AS, Karagas MR, Moore JH.

BioData Min. 2015 Dec 21;8:43. doi: 10.1186/s13040-015-0062-4. eCollection 2015.

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