Taking a deep dive with active learning for drug discovery.
Publication
, Journal Article
Fralish, Z; Reker, D
Published in: Nature computational science
October 2024
Duke Scholars
Published In
Nature computational science
DOI
EISSN
2662-8457
ISSN
2662-8457
Publication Date
October 2024
Volume
4
Issue
10
Start / End Page
727 / 728
Citation
APA
Chicago
ICMJE
MLA
NLM
Fralish, Z., & Reker, D. (2024). Taking a deep dive with active learning for drug discovery. Nature Computational Science, 4(10), 727–728. https://doi.org/10.1038/s43588-024-00704-6
Fralish, Zachary, and Daniel Reker. “Taking a deep dive with active learning for drug discovery.” Nature Computational Science 4, no. 10 (October 2024): 727–28. https://doi.org/10.1038/s43588-024-00704-6.
Fralish Z, Reker D. Taking a deep dive with active learning for drug discovery. Nature computational science. 2024 Oct;4(10):727–8.
Fralish, Zachary, and Daniel Reker. “Taking a deep dive with active learning for drug discovery.” Nature Computational Science, vol. 4, no. 10, Oct. 2024, pp. 727–28. Epmc, doi:10.1038/s43588-024-00704-6.
Fralish Z, Reker D. Taking a deep dive with active learning for drug discovery. Nature computational science. 2024 Oct;4(10):727–728.
Published In
Nature computational science
DOI
EISSN
2662-8457
ISSN
2662-8457
Publication Date
October 2024
Volume
4
Issue
10
Start / End Page
727 / 728