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Results: 1 to 20 of 572

Cited In for PubMed (Select 15716906)

1.

Statistical and Computational Methods for Genetic Diseases: An Overview.

Camastra F, Di Taranto MD, Staiano A.

Comput Math Methods Med. 2015;2015:954598. doi: 10.1155/2015/954598. Epub 2015 May 28. Review.

2.

Associations of Polymorphisms in WNT9B and PBX1 with Mayer-Rokitansky-Küster-Hauser Syndrome in Chinese Han.

Ma W, Li Y, Wang M, Li H, Su T, Li Y, Wang S.

PLoS One. 2015 Jun 15;10(6):e0130202. doi: 10.1371/journal.pone.0130202. eCollection 2015.

3.

Multiblock Discriminant Analysis for Integrative Genomic Study.

Kang M, Kim DC, Liu C, Gao J.

Biomed Res Int. 2015;2015:783592. doi: 10.1155/2015/783592. Epub 2015 May 17.

4.

The Influence of PSCA Gene Variation on Its Expression and Gastric Adenocarcinoma Susceptibility in the Northwest Chinese Population.

Zhang W, Liang P, Wang W, Dai P, Wang Q, Yan W, Zhao J, Sun J, Peng Y, Cui D, Yan Z.

Int J Mol Sci. 2015 May 21;16(5):11648-58. doi: 10.3390/ijms160511648.

5.

Clinical implications of copy number variations in autoimmune disorders.

Yim SH, Jung SH, Chung B, Chung YJ.

Korean J Intern Med. 2015 May;30(3):294-304. Epub 2015 Apr 29. Review.

6.

Prioritization of cancer-related genomic variants by SNP association network.

Liu C, Xuan Z.

Cancer Inform. 2015 Apr 1;14(Suppl 2):57-70. doi: 10.4137/CIN.S17288. eCollection 2015.

7.

GRACOMICS: software for graphical comparison of multiple results with omics data.

Seo M, Yoon J, Park T.

BMC Genomics. 2015 Apr 1;16:256. doi: 10.1186/s12864-015-1461-0.

8.

Novel genetic matching methods for handling population stratification in genome-wide association studies.

Lacour A, Schüller V, Drichel D, Herold C, Jessen F, Leber M, Maier W, Noethen MM, Ramirez A, Vaitsiakhovich T, Becker T.

BMC Bioinformatics. 2015 Mar 14;16:84. doi: 10.1186/s12859-015-0521-4.

9.

A common variant near TGFBR3 is associated with primary open angle glaucoma.

Li Z, Allingham RR, Nakano M, Jia L, Chen Y, Ikeda Y, Mani B, Chen LJ, Kee C, Garway-Heath DF, Sripriya S, Fuse N, Abu-Amero KK, Huang C, Namburi P, Burdon K, Perera SA, Gharahkhani P, Lin Y, Ueno M, Ozaki M, Mizoguchi T, Krishnadas SR, Osman EA, Lee MC, Chan AS, Tajudin LS, Do T, Goncalves A, Reynier P, Zhang H, Bourne R, Goh D, Broadway D, Husain R, Negi AK, Su DH, Ho CL, Blanco AA, Leung CK, Wong TT, Yakub A, Liu Y, Nongpiur ME, Han JC, Hon do N, Shantha B, Zhao B, Sang J, Zhang N, Sato R, Yoshii K, Panda-Jonas S, Ashley Koch AE, Herndon LW, Moroi SE, Challa P, Foo JN, Bei JX, Zeng YX, Simmons CP, Bich Chau TN, Sharmila PF, Chew M, Lim B, Tam PO, Chua E, Ng XY, Yong VH, Chong YF, Meah WY, Vijayan S, Seongsoo S, Xu W, Teo YY, Cooke Bailey JN, Kang JH, Haines JL, Cheng CY, Saw SM, Tai ES; ICAARE-Glaucoma Consortium; NEIGHBORHOOD Consortium, Richards JE, Ritch R, Gaasterland DE, Pasquale LR, Liu J, Jonas JB, Milea D, George R, Al-Obeidan SA, Mori K, Macgregor S, Hewitt AW, Girkin CA, Zhang M, Sundaresan P, Vijaya L, Mackey DA, Wong TY, Craig JE, Sun X, Kinoshita S, Wiggs JL, Khor CC, Yang Z, Pang CP, Wang N, Hauser MA, Tashiro K, Aung T, Vithana EN.

Hum Mol Genet. 2015 Jul 1;24(13):3880-92. doi: 10.1093/hmg/ddv128. Epub 2015 Apr 10.

10.

A comparative study of disease genes and drug targets in the human protein interactome.

Sun J, Zhu K, Zheng W, Xu H.

BMC Bioinformatics. 2015;16 Suppl 5:S1. doi: 10.1186/1471-2105-16-S5-S1. Epub 2015 Mar 18.

11.

Using network clustering to predict copy number variations associated with health disparities.

Jiang Y, Qin H, Yang L.

PeerJ. 2015 Mar 5;3:e677. doi: 10.7717/peerj.677. eCollection 2015.

12.
13.

The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets.

Saito T, Rehmsmeier M.

PLoS One. 2015 Mar 4;10(3):e0118432. doi: 10.1371/journal.pone.0118432. eCollection 2015.

14.

Pathway Analysis of Metabolic Syndrome Using a Genome-Wide Association Study of Korea Associated Resource (KARE) Cohorts.

Shim U, Kim HN, Sung YA, Kim HL.

Genomics Inform. 2014 Dec;12(4):195-202. doi: 10.5808/GI.2014.12.4.195. Epub 2014 Dec 31.

15.

A pleiotropy-informed Bayesian false discovery rate adapted to a shared control design finds new disease associations from GWAS summary statistics.

Liley J, Wallace C.

PLoS Genet. 2015 Feb 6;11(2):e1004926. doi: 10.1371/journal.pgen.1004926. eCollection 2015 Feb.

16.

Systematic confirmation study of GWAS-identified genetic variants for Kawasaki disease in a Chinese population.

Lou J, Zhong R, Shen N, Lu XZ, Ke JT, Duan JY, Qi YQ, Wang YJ, Zhang Q, Wang W, Gong FQ, Miao XP.

Sci Rep. 2015 Feb 3;5:8194. doi: 10.1038/srep08194.

17.

CARAT-GxG: CUDA-Accelerated Regression Analysis Toolkit for Large-Scale Gene-Gene Interaction with GPU Computing System.

Lee S, Kwon MS, Park T.

Cancer Inform. 2014 Dec 9;13(Suppl 7):27-33. doi: 10.4137/CIN.S16349. eCollection 2014.

18.

Genomic toolboxes for conservation biologists.

Angeloni F, Wagemaker N, Vergeer P, Ouborg J.

Evol Appl. 2012 Feb;5(2):130-43. doi: 10.1111/j.1752-4571.2011.00217.x. Epub 2011 Nov 17.

19.
20.

Locus heterogeneity disease genes encode proteins with high interconnectivity in the human protein interaction network.

Keith BP, Robertson DL, Hentges KE.

Front Genet. 2014 Dec 9;5:434. doi: 10.3389/fgene.2014.00434. eCollection 2014.

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