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Comparing associations found between unannotated and annotated metabolomics in a study of behavioral outcomes in children with cerebral malaria
Author(s) -
M. Brian Bixby,
Philip D. Curtin,
J. Mazzella M,
Chandy C. John,
Dibyadyuti Datta,
O. Opoka R,
Chris Gennings
Publication year - 2019
Publication title -
environmental epidemiology
Language(s) - English
Resource type - Journals
ISSN - 2474-7882
DOI - 10.1097/01.ee9.0000605956.68865.c5
Subject(s) - cbcl , metabolome , random forest , metabolomics , child behavior checklist , cohort , exposome , biology , medicine , artificial intelligence , bioinformatics , computer science , genetics , clinical psychology

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