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A software framework for applying machine learning in chemistry and life sciences. Model and dataset selection remain the researcher’s responsibility.
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A software framework for applying machine learning in chemistry and life sciences. Model and dataset selection remain the researcher’s responsibility.
Información cotejada con una fuente oficial; no es un ensayo experimental directo. Fuente · Última revisión: 14/09/2026, 18:31:56 UTC
Use this citation format when referencing DeepChem in scientific publications and benchmark papers.
@software{deepchem_2026,
title = {{DeepChem}},
author = {{DeepChem contributors}},
year = {2026},
url = {https://deepchem.io/},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}Live scientific citations queried from Europe PMC and PubMed for DeepChem.
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DeepChem Scientific Architecture · Credit: DeepChem contributors · Open original ↗
Research and editorial use Source & attribution ↗ License ↗
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