Ancestry inference using principal component analysis and spatial analysis: a distance-based analysis to account for population substructure.
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| Title: | Ancestry inference using principal component analysis and spatial analysis: a distance-based analysis to account for population substructure. |
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| Authors: | Byun J; Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, One Medical Center Drive, Lebanon, NH, 03756, USA., Han Y; Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, One Medical Center Drive, Lebanon, NH, 03756, USA., Gorlov IP; Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, One Medical Center Drive, Lebanon, NH, 03756, USA., Busam JA; Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, One Medical Center Drive, Lebanon, NH, 03756, USA., Seldin MF; Department of Biochemistry and Molecular Medicine, University of California Davis, Davis, CA, 95616, USA., Amos CI; Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, One Medical Center Drive, Lebanon, NH, 03756, USA. Christopher.I.Amos@dartmouth.edu. |
| Source: | BMC genomics [BMC Genomics] 2017 Oct 16; Vol. 18 (1), pp. 789. Date of Electronic Publication: 2017 Oct 16. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2164 (Electronic) Linking ISSN: 14712164 NLM ISO Abbreviation: BMC Genomics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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