Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research

Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research

Research in environmental health is becoming increasingly reliant upon data science and computational methods that can more efficiently extract information from complex datasets. Data science and computational methods can be leveraged to better identify relationships between exposures to stressors i...

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Bibliographic Details
Main Authors: Kyle Roell, Lauren E. Koval, Rebecca Boyles, Grace Patlewicz, Caroline Ring, Cynthia V. Rider, Cavin Ward-Caviness, David M. Reif, Ilona Jaspers, Rebecca C. Fry, Julia E. Rager
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Toxicology
Subjects:
bioinformatics and computational biology
cheminformatics
data science
epidemiology
exposure science
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/ftox.2022.893924/full

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