A Machine Learning-Based Identification of Genes Affecting the Pharmacokinetics of Tacrolimus Using the DMET<sup>TM</sup> Plus Platform

A Machine Learning-Based Identification of Genes Affecting the Pharmacokinetics of Tacrolimus Using the DMET<sup>TM</sup> Plus Platform

Tacrolimus is an immunosuppressive drug with a narrow therapeutic index and larger interindividual variability. We identified genetic variants to predict tacrolimus exposure in healthy Korean males using machine learning algorithms such as decision tree, random forest, and least absolute shrinkage a...

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Bibliographic Details
Main Authors: Jeong-An Gim, Yonghan Kwon, Hyun A Lee, Kyeong-Ryoon Lee, Soohyun Kim, Yoonjung Choi, Yu Kyong Kim, Howard Lee
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:International Journal of Molecular Sciences
Subjects:
decision tree
random forest
machine learning
tacrolimus
genotype
Online Access:https://www.mdpi.com/1422-0067/21/7/2517

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