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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| 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 |