A Machine Learning-Based Identification of Genes Affecting the Pharmacokinetics of Tacrolimus Using the DMET(TM) 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...

Descripción completa

Detalles Bibliográficos
Autores principales: Gim, Jeong-An, Kwon, Yonghan, Lee, Hyun A, Lee, Kyeong-Ryoon, Kim, Soohyun, Choi, Yoonjung, Kim, Yu Kyong, Lee, Howard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178269/
https://www.ncbi.nlm.nih.gov/pubmed/32260456
http://dx.doi.org/10.3390/ijms21072517

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178269/
https://www.ncbi.nlm.nih.gov/pubmed/32260456
http://dx.doi.org/10.3390/ijms21072517

Ejemplares similares