Factor analysis of ancient population genomic samples
Principal component analysis is often used in studies of ancient DNA, but does not account for the age of the samples. Here, the authors present a factor analysis (FA) which corrects for this by including the effect of allele frequency drift over time.
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2020
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oai:doaj.org-article:6a5e40b0975c4c8bb5d6d9dd0786dd392021-12-02T18:34:03ZFactor analysis of ancient population genomic samples10.1038/s41467-020-18335-62041-1723https://doaj.org/article/6a5e40b0975c4c8bb5d6d9dd0786dd392020-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18335-6https://doaj.org/toc/2041-1723Principal component analysis is often used in studies of ancient DNA, but does not account for the age of the samples. Here, the authors present a factor analysis (FA) which corrects for this by including the effect of allele frequency drift over time.Olivier FrançoisFlora JayNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020) |
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Science Q Olivier François Flora Jay Factor analysis of ancient population genomic samples |
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Principal component analysis is often used in studies of ancient DNA, but does not account for the age of the samples. Here, the authors present a factor analysis (FA) which corrects for this by including the effect of allele frequency drift over time. |
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article |
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Olivier François Flora Jay |
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Olivier François Flora Jay |
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Olivier François |
title |
Factor analysis of ancient population genomic samples |
title_short |
Factor analysis of ancient population genomic samples |
title_full |
Factor analysis of ancient population genomic samples |
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Factor analysis of ancient population genomic samples |
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Factor analysis of ancient population genomic samples |
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factor analysis of ancient population genomic samples |
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Nature Portfolio |
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2020 |
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https://doaj.org/article/6a5e40b0975c4c8bb5d6d9dd0786dd39 |
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AT olivierfrancois factoranalysisofancientpopulationgenomicsamples AT florajay factoranalysisofancientpopulationgenomicsamples |
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1718377924973821952 |