assign POP : An r package for population assignment using genetic, non‐genetic, or integrated data in a machine‐learning framework-Reference-Cited by-同舟云学术

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assign POP : An r package for population assignment using genetic, non‐genetic, or integrated data in a machine‐learning framework

Published:2017-10-16 Issue:2 Volume:9 Page:439-446
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Chen Kuan‐Yu¹^ORCID,Marschall Elizabeth A.¹^ORCID,Sovic Michael G.²³,Fries Anthony C.²⁴,Gibbs H. Lisle²^ORCID,Ludsin Stuart A.¹^ORCID

Affiliation:

1. Aquatic Ecology LaboratoryDepartment of Evolution, Ecology and Organismal BiologyThe Ohio State University Columbus OH USA

2. Department of Evolution, Ecology and Organismal Biology and Ohio Biodiversity Conservation PartnershipThe Ohio State University Columbus OH USA

3. Comprehensive Cancer CenterThe Ohio State University Columbus OH USA

4. United States Air Force School of Aerospace MedicineWright‐Patterson AFB OH USA

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.12897

Reference46 articles.

1. Assessing the power of informative subsets of loci for population assignment: standard methods are upwardly biased

2. Complex larval connectivity patterns among marine invertebrate populations

3. An holistic approach to fish stock identification

4. Estimating contemporary early life-history dispersal in an estuarine fish: integrating molecular and otolith elemental approaches

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