Automated Workflows for Data Curation and Machine Learning to Develop Quantitative Structure-Activity Relationships

Domenico Gadaleta

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DOI: 10.1007/978-1-0716-4003-6_5
Published: 2024-09-24
Container: Methods in Molecular Biology
Publisher: Springer US
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/978-1-0716-4003-6_5,
  title = {Automated Workflows for Data Curation and Machine Learning to Develop Quantitative Structure-Activity Relationships},
  author = {Domenico Gadaleta},
  year = {2024},
  journal = {Methods in Molecular Biology},
  doi = {10.1007/978-1-0716-4003-6_5},
  url = {https://doi.org/10.1007/978-1-0716-4003-6_5}
}

RIS

TY  - JOUR
TI  - Automated Workflows for Data Curation and Machine Learning to Develop Quantitative Structure-Activity Relationships
AU  - Domenico Gadaleta
PY  - 2024
JO  - Methods in Molecular Biology
DO  - 10.1007/978-1-0716-4003-6_5
UR  - https://doi.org/10.1007/978-1-0716-4003-6_5
ER  -

APA

Gadaleta, D. (2024). Automated Workflows for Data Curation and Machine Learning to Develop Quantitative Structure-Activity Relationships. Methods in Molecular Biology. https://doi.org/10.1007/978-1-0716-4003-6_5

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crossref · retrieved 2026-09-25T23:06:38.478Z