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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Detalles Bibliográficos
Autores principales: Peng, Yu, Zhao, Shouwei, Zeng, Zhiliang, Hu, Xiang, Yin, Zhixiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849804/
https://www.ncbi.nlm.nih.gov/pubmed/36687573
http://dx.doi.org/10.3389/fmicb.2022.1092467

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849804/
https://www.ncbi.nlm.nih.gov/pubmed/36687573
http://dx.doi.org/10.3389/fmicb.2022.1092467

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