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hERG-toxicity prediction using traditional machine learning and advanced deep learning techniques
The rise of artificial intelligence (AI) based algorithms has gained a lot of interest in the pharmaceutical development field. Our study demonstrates utilization of traditional machine learning techniques such as random forest (RF), support-vector machine (SVM), extreme gradient boosting (XGBoost),...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493507/ https://www.ncbi.nlm.nih.gov/pubmed/37701072 http://dx.doi.org/10.1016/j.crtox.2023.100121 |