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Michael D Edge

Showing results (21-30 of 58) with videos related to

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Biorxiv : the Preprint Server for Biology|June 10, 2024
On forensic likelihood ratios from low-coverage sequencingFeriel Ouerghi, Dan E Krane, Michael D Edge
Biorxiv : the Preprint Server for Biology|June 10, 2024
Evaluating ARG-estimation methods in the context of estimating population-mean polygenic score historiesDandan Peng, Obadiah J Mulder, Michael D Edge
Evolution, Medicine, and Public Health|February 1, 2014
Windfalls and pitfalls: Applications of population genetics to the search for disease genesMichael D Edge, Prakash Gorroochurn, Noah A Rosenberg
Genetics|March 6, 2025
Evaluating ARG-estimation methods in the context of estimating population-mean polygenic score historiesDandan Peng, Obadiah J Mulder, Michael D Edge
Biorxiv : the Preprint Server for Biology|March 18, 2024
Unifying approaches from statistical genetics and phylogenetics for mapping phenotypes in structured populationsJoshua G Schraiber, Michael D Edge, Matt Pennell
American Journal of Human Genetics|August 14, 2025
Estimation of demography and mutation rates from one million haploid genomesJoshua G Schraiber, Jeffrey P Spence, Michael D Edge
Biorxiv : the Preprint Server for Biology|September 30, 2024
Estimation of demography and mutation rates from one million haploid genomesJoshua G Schraiber, Jeffrey P Spence, Michael D Edge
Biorxiv : the Preprint Server for Biology|January 23, 2026
Characterizing and mitigating confounding by unreplicated evolutionary events in phylogenetic regressionQifan Wang, Michael D Edge, Joshua G Schraiber, et al.
Studies in History and Philosophy of Biological and Biomedical Sciences|March 11, 2015
The mind, the lab, and the field: Three kinds of populations in scientific practiceRasmus Grønfeldt Winther, Ryan Giordano, Michael D Edge, et al.
American Journal of Physical Anthropology|March 27, 2021
Skin deep: The decoupling of genetic admixture levels from phenotypes that differed between source populationsJaehee Kim, Michael D Edge, Amy Goldberg, et al.
Pageof 6

Showing results (21-30 of 58) with videos related to

Sort By:
Pageof 6
Biorxiv : the Preprint Server for Biology|June 10, 2024
On forensic likelihood ratios from low-coverage sequencingFeriel Ouerghi, Dan E Krane, Michael D Edge
Biorxiv : the Preprint Server for Biology|June 10, 2024
Evaluating ARG-estimation methods in the context of estimating population-mean polygenic score historiesDandan Peng, Obadiah J Mulder, Michael D Edge
Evolution, Medicine, and Public Health|February 1, 2014
Windfalls and pitfalls: Applications of population genetics to the search for disease genesMichael D Edge, Prakash Gorroochurn, Noah A Rosenberg
Genetics|March 6, 2025
Evaluating ARG-estimation methods in the context of estimating population-mean polygenic score historiesDandan Peng, Obadiah J Mulder, Michael D Edge
Biorxiv : the Preprint Server for Biology|March 18, 2024
Unifying approaches from statistical genetics and phylogenetics for mapping phenotypes in structured populationsJoshua G Schraiber, Michael D Edge, Matt Pennell
American Journal of Human Genetics|August 14, 2025
Estimation of demography and mutation rates from one million haploid genomesJoshua G Schraiber, Jeffrey P Spence, Michael D Edge
Biorxiv : the Preprint Server for Biology|September 30, 2024
Estimation of demography and mutation rates from one million haploid genomesJoshua G Schraiber, Jeffrey P Spence, Michael D Edge
Biorxiv : the Preprint Server for Biology|January 23, 2026
Characterizing and mitigating confounding by unreplicated evolutionary events in phylogenetic regressionQifan Wang, Michael D Edge, Joshua G Schraiber, et al.
Studies in History and Philosophy of Biological and Biomedical Sciences|March 11, 2015
The mind, the lab, and the field: Three kinds of populations in scientific practiceRasmus Grønfeldt Winther, Ryan Giordano, Michael D Edge, et al.
American Journal of Physical Anthropology|March 27, 2021
Skin deep: The decoupling of genetic admixture levels from phenotypes that differed between source populationsJaehee Kim, Michael D Edge, Amy Goldberg, et al.
Pageof 6