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Restricted maximum likelihood estimation of genetic principal components and smoothed covariance matrices
Principal component analysis is a widely used 'dimension reduction' technique, albeit generally at a phenotypic level. It is shown that we can estimate genetic principal components directly through a simple reparameterisation of the usual linear, mixed model. This is applicable to any anal...
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| Huvudupphovsmän: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2005
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2697245/ https://ncbi.nlm.nih.gov/pubmed/15588566 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1297-9686-37-1-1 |
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