Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits-Reference-Cited by-同舟云学术

Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits

Published:2020-08-14 Issue:8 Volume:16 Page:e1008044
ISSN:1553-7358
Container-title:PLOS Computational Biology
language:en
Short-container-title:PLoS Comput Biol

Author:

Glastonbury Craig A.^ORCID,Pulit Sara L.,Honecker Julius^ORCID,Censin Jenny C.^ORCID,Laber Samantha,Yaghootkar Hanieh^ORCID,Rahmioglu Nilufer^ORCID,Pastel Emilie,Kos Katerina^ORCID,Pitt Andrew^ORCID,Hudson Michelle^ORCID,Nellåker Christoffer^ORCID,Beer Nicola L.,Hauner Hans^ORCID,Becker Christian M.^ORCID,Zondervan Krina T.^ORCID,Frayling Timothy M.^ORCID,Claussnitzer Melina,Lindgren Cecilia M.^ORCID

Publisher

Public Library of Science (PLoS)

Subject

Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics

Reference58 articles.

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