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...

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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

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