Teaching artificial intelligence through drug–drug interaction clustering analysis: Integrating project-based learning and large language models
- DOI
- 10.1371/journal.pcbi.1014236
- Published
- 2026-05-13
- Container
- PLOS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pcbi.1014236,
title = {Teaching artificial intelligence through drug–drug interaction clustering analysis: Integrating project-based learning and large language models},
author = {Ji Lv and Guixia Liu and Changjun Zhou},
year = {2026},
journal = {PLOS Computational Biology},
doi = {10.1371/journal.pcbi.1014236},
url = {https://doi.org/10.1371/journal.pcbi.1014236}
}RIS
TY - JOUR TI - Teaching artificial intelligence through drug–drug interaction clustering analysis: Integrating project-based learning and large language models AU - Ji Lv AU - Guixia Liu AU - Changjun Zhou PY - 2026 JO - PLOS Computational Biology DO - 10.1371/journal.pcbi.1014236 UR - https://doi.org/10.1371/journal.pcbi.1014236 ER -
APA
Lv, J., Liu, G., & Zhou, C. (2026). Teaching artificial intelligence through drug–drug interaction clustering analysis: Integrating project-based learning and large language models. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1014236
Source records
- crossref · retrieved 2026-09-24T22:37:52.119Z