About
Contact & Profiles
A5065123368
Research Areas
- Flood Risk Assessment and Management
- Computational Drug Discovery Methods
- Water Quality Monitoring Technologies
- Machine Learning in Materials Science
- Smart Parking Systems Research
- Bioinformatics and Genomic Networks
Institute of Disaster Prevention
2022-2024
Drug combinations have recently been studied intensively due to their critical role in cancer treatment. Computational prediction of drug synergy has become a popular alternative strategy experimental methods for anticancer predictions. In this paper, deep learning model called DCE-DForest is proposed predict the synergistic effect combinations. To sufficiently extract information, paper leverages BERT (Bidirectional Encoder Representations from Transformers) encode and forest nonlinear...
10.1155/2022/8693746
article
EN
Computational and Mathematical Methods in Medicine
2022-06-09
10.1145/3685088.3685123
article
EN
2024-05-17
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