LGBMDF: A cascade forest framework with LightGBM for predicting drug-target interactions

LGBMDF: A cascade forest framework with LightGBM for predicting drug-target interactions

Prediction of drug-target interactions (DTIs) plays an important role in drug development. However, traditional laboratory methods to determine DTIs require a lot of time and capital costs. In recent years, many studies have shown that using machine learning methods to predict DTIs can speed up the...

Full description

Bibliographic Details
Main Authors: Yu Peng, Shouwei Zhao, Zhiliang Zeng, Xiang Hu, Zhixiang Yin
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Microbiology
Subjects:
drug-target interactions
machine learning
LightGBM
deep forest
prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2022.1092467/full

Internet

https://www.frontiersin.org/articles/10.3389/fmicb.2022.1092467/full

Similar Items