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Items: 1 to 20 of 100

1.

Iterative pruning PCA improves resolution of highly structured populations.

Intarapanich A, Shaw PJ, Assawamakin A, Wangkumhang P, Ngamphiw C, Chaichoompu K, Piriyapongsa J, Tongsima S.

BMC Bioinformatics. 2009 Nov 23;10:382. doi: 10.1186/1471-2105-10-382.

2.

Study of large and highly stratified population datasets by combining iterative pruning principal component analysis and structure.

Limpiti T, Intarapanich A, Assawamakin A, Shaw PJ, Wangkumhang P, Piriyapongsa J, Ngamphiw C, Tongsima S.

BMC Bioinformatics. 2011 Jun 23;12:255. doi: 10.1186/1471-2105-12-255.

3.

PCA-based population structure inference with generic clustering algorithms.

Lee C, Abdool A, Huang CH.

BMC Bioinformatics. 2009 Jan 30;10 Suppl 1:S73. doi: 10.1186/1471-2105-10-S1-S73.

4.

Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations.

Corander J, Marttinen P, Sirén J, Tang J.

BMC Bioinformatics. 2008 Dec 16;9:539. doi: 10.1186/1471-2105-9-539.

5.

SHIPS: Spectral Hierarchical clustering for the Inference of Population Structure in genetic studies.

Bouaziz M, Paccard C, Guedj M, Ambroise C.

PLoS One. 2012;7(10):e45685. doi: 10.1371/journal.pone.0045685. Epub 2012 Oct 12.

6.

The effect of close relatives on unsupervised Bayesian clustering algorithms in population genetic structure analysis.

Rodríguez-Ramilo ST, Wang J.

Mol Ecol Resour. 2012 Sep;12(5):873-84. doi: 10.1111/j.1755-0998.2012.03156.x. Epub 2012 May 28.

PMID:
22639868
8.

Tracing sub-structure in the European American population with PCA-informative markers.

Paschou P, Drineas P, Lewis J, Nievergelt CM, Nickerson DA, Smith JD, Ridker PM, Chasman DI, Krauss RM, Ziv E.

PLoS Genet. 2008 Jul 4;4(7):e1000114. doi: 10.1371/journal.pgen.1000114.

9.

PCA-correlated SNPs for structure identification in worldwide human populations.

Paschou P, Ziv E, Burchard EG, Choudhry S, Rodriguez-Cintron W, Mahoney MW, Drineas P.

PLoS Genet. 2007 Sep;3(9):1672-86.

10.

Establishment of a standardized system to perform population structure analyses with limited sample size or with different sets of SNP genotypes.

Kumasaka N, Yamaguchi-Kabata Y, Takahashi A, Kubo M, Nakamura Y, Kamatani N.

J Hum Genet. 2010 Aug;55(8):525-33. doi: 10.1038/jhg.2010.63. Epub 2010 Jun 17.

PMID:
20555335
11.

A semiparametric test to detect associations between quantitative traits and candidate genes in structured populations.

Li M, Reilly C, Hanson T.

Bioinformatics. 2008 Oct 15;24(20):2356-62. doi: 10.1093/bioinformatics/btn455. Epub 2008 Aug 27.

PMID:
18753154
12.

FLOCK provides reliable solutions to the "number of populations" problem.

Duchesne P, Turgeon J.

J Hered. 2012 Sep-Oct;103(5):734-43. doi: 10.1093/jhered/ess038. Epub 2012 May 21.

PMID:
22615162
13.

SHEsisPCA: a GPU-based software to correct for population stratification that efficiently accelerates the process for handling genome-wide datasets.

Shen J, Li Z, Shi Y.

J Genet Genomics. 2015 Aug 20;42(8):445-53. doi: 10.1016/j.jgg.2015.06.007. Epub 2015 Jul 9.

PMID:
26336801
14.

Spectrum: joint Bayesian inference of population structure and recombination events.

Sohn KA, Xing EP.

Bioinformatics. 2007 Jul 1;23(13):i479-89.

PMID:
17646333
15.

Robust prediction of protein subcellular localization combining PCA and WSVMs.

Tian J, Gu H, Liu W, Gao C.

Comput Biol Med. 2011 Aug;41(8):648-52. doi: 10.1016/j.compbiomed.2011.05.016. Epub 2011 Jun 30.

PMID:
21722885
16.

Maximizing genetic differentiation in core collections by PCA-based clustering of molecular marker data.

van Heerwaarden J, Odong TL, van Eeuwijk FA.

Theor Appl Genet. 2013 Mar;126(3):763-72. doi: 10.1007/s00122-012-2016-2. Epub 2012 Nov 21.

PMID:
23178877
17.

Revealing cryptic spatial patterns in genetic variability by a new multivariate method.

Jombart T, Devillard S, Dufour AB, Pontier D.

Heredity (Edinb). 2008 Jul;101(1):92-103. doi: 10.1038/hdy.2008.34. Epub 2008 Apr 30.

18.

Discriminant analysis of principal components: a new method for the analysis of genetically structured populations.

Jombart T, Devillard S, Balloux F.

BMC Genet. 2010 Oct 15;11:94. doi: 10.1186/1471-2156-11-94.

19.

Logistic regression protects against population structure in genetic association studies.

Setakis E, Stirnadel H, Balding DJ.

Genome Res. 2006 Feb;16(2):290-6. Epub 2005 Dec 14.

20.

Robust inference of population structure for ancestry prediction and correction of stratification in the presence of relatedness.

Conomos MP, Miller MB, Thornton TA.

Genet Epidemiol. 2015 May;39(4):276-93. doi: 10.1002/gepi.21896. Epub 2015 Mar 23.

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