Automated Data-Efficient Symbolic Regression for Interpretable Bioprocess Model Development.

Riezzo L, Rogers A, Kay H, Zhang D

DOI: 10.1002/bit.70328
Published: 2026 Aug 10
Container: Biotechnology and bioengineering
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/bit.70328,
  title = {Automated Data-Efficient Symbolic Regression for Interpretable Bioprocess Model Development.},
  author = {Riezzo L and Rogers A and Kay H and Zhang D},
  year = {2026},
  journal = {Biotechnology and bioengineering},
  doi = {10.1002/bit.70328},
  url = {https://doi.org/10.1002/bit.70328}
}

RIS

TY  - JOUR
TI  - Automated Data-Efficient Symbolic Regression for Interpretable Bioprocess Model Development.
AU  - Riezzo L
AU  - Rogers A
AU  - Kay H
AU  - Zhang D
PY  - 2026
JO  - Biotechnology and bioengineering
DO  - 10.1002/bit.70328
UR  - https://doi.org/10.1002/bit.70328
ER  -

APA

L, R., A, R., H, K., & D, Z. (2026). Automated Data-Efficient Symbolic Regression for Interpretable Bioprocess Model Development.. Biotechnology and bioengineering. https://doi.org/10.1002/bit.70328

Source records

pubmed · retrieved 2026-09-25T10:09:30.649Z