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),...
Main Authors: | Erik Ylipää, Swapnil Chavan, Maria Bånkestad, Johan Broberg, Björn Glinghammar, Ulf Norinder, Ian Cotgreave |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-01-01
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Series: | Current Research in Toxicology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666027X23000191 |
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