Applications of random forest feature selection for fine-scale genetic population assignment-Reference-Cited by-同舟云学术

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Applications of random forest feature selection for fine-scale genetic population assignment

Published:2017-09-14 Issue:2 Volume:11 Page:153-165
ISSN:1752-4571
Container-title:Evolutionary Applications
language:en
Short-container-title:Evol Appl

Author:

Sylvester Emma V. A.¹^ORCID,Bentzen Paul²,Bradbury Ian R.³,Clément Marie⁴⁵,Pearce Jon⁶,Horne John²,Beiko Robert G.¹

Affiliation:

1. Faculty of Computer Science; Dalhousie University; Halifax NS Canada

2. Marine Gene Probe Laboratory; Department of Biology; Dalhousie University; Halifax NS Canada

3. Department of Fisheries and Oceans; St. John's NL Canada

4. Centre for Fisheries Ecosystems Research, Fisheries and Marine Institute; Memorial University of Newfoundland; St. John's NL Canada

5. Labrador Institute; Memorial University of Newfoundland; Happy Valley-Goose Bay NL Canada

6. Northern SE Regional Aquaculture Association; Hidden Falls Hatchery; Sitka AK USA

Funder

Natural Sciences and Engineering Research Council of Canada

Nova Scotia Graduate Scholarship (NSGS)

Canada Graduate Scholarship (CGS-M)

Labrador Institute (Atlantic Canada Opportunities Agency and Department of Business, Tourism, Culture and Rural Development)

Olin Fellowships (Atlantic Salmon Federation)

Publisher

Wiley

Subject

General Agricultural and Biological Sciences,Genetics,Ecology, Evolution, Behavior and Systematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/eva.12524/fullpdf

Reference54 articles.

1. Assessing the power of informative subsets of loci for populations assignment: Standard methods are upwardly biased;Anderson;Molecular Ecology Resources,2010

2. An improved method for predicting the accuracy of genetic stock identification;Anderson;Canadian Journal of Fisheries and Aquatic Sciences,2008

3. Population structure in Atlantic cod in the eastern North Sea-Skagerrak-Kattegat: Early life stage dispersal and adult migration;André;BMC Research Notes,2016

4. Gene-associated markers can assign origin in a weakly structured fish, Atlantic herring;Bekkevold;ICES Journal of Marine Science,2015

5. Overview of random forest methodology and practical guidance with emphasis on computation biology and bioinformatics;Boulesteix;WIREs Data and Mining Knowledge Discovery,2012

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