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Let the reference dataset R = (r ik) denote the matrix of admixture proportions of populations with respect to putative ancestral populations.
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In effect, our approach assumes a fixed effective time-scale of admixture, and ignores the structured transition matrices that are expected due to a fixed pedigree.
We created spatial interpolations of the Q matrix using the option in TESS to generate posterior predictive maps of admixture proportions.
In this study, the effects of admixture components and admixture dosage on the response variables were examined using mixture experiments.
A high level of admixture is characteristic of a majority of ORSC gene bank accessions.
Again, the hgdp-eigen quantified the magnitude of admixture.
These analyses showed a range of admixture.
A range of admixture scenarios was explored by varying parameters of the demographic model, particularly the time of admixture, admixture proportion, and single vs. multiple admixture events.
Two types of admixture history minimize the variance of the autosomal admixture fraction.
Here, we develop a general model of admixture that mechanistically accounts for complex historical admixture processes.
The no-admixture model was chosen since the amount of admixture was found to be negligible.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com