Comprehensive hepatotoxicity prediction: ensemble model integrating machine learning and deep learning
The proposed ensemble model offers a dependable assessment with a good performance for the prediction regarding the risk of chemicals and drugs to induce liver damage.
Authors
- Jia-Nan Ren
- Cheng Cao (ORCID: https://orcid.org/0000-0002-0305-2768)
- Hao Wang (ORCID: https://orcid.org/0000-0001-7661-3688)
- Jinrong Yang (ORCID: https://orcid.org/0000-0002-7678-0360)
- Hong-Yu-Xiang Ye
- Jian‐Zhong Chen
- Muhammad Zafar Irshad Khan
- Ya-Min Guo
Institutions
- Hangzhou Wanxiang Polytechnic (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2024-08-21
- DOI
- https://doi.org/10.3389/fphar.2024.1441587
- Citations
- 13
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 4.70
Funders
- National Natural Science Foundation of China