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An Eigenvalue test for spatial principal component analysis
BACKGROUND: The spatial Principal Component Analysis (sPCA, Jombart (Heredity 101:92-103, 2008) is designed to investigate non-random spatial distributions of genetic variation. Unfortunately, the associated tests used for assessing the existence of spatial patterns (global and local test; (Heredity...
Tallennettuna:
| Julkaisussa: | BMC Bioinformatics |
|---|---|
| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5732370/ https://ncbi.nlm.nih.gov/pubmed/29246102 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1988-y |
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