Integrating Machine Learning and Transcriptomics to Enhance β‑Carotene Production in Saccharomyces cerevisiae.

Khamwachirapithak P, Sae-Tang K, Bubphasawan S, Choompuper J, Zhao XQ, Champreda V, Runguphan W

DOI: 10.1021/acsomega.6c06012
Published: 2026 Aug 25
Container: ACS omega
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1021/acsomega.6c06012,
  title = {Integrating Machine Learning and Transcriptomics to Enhance β‑Carotene Production in Saccharomyces cerevisiae.},
  author = {Khamwachirapithak P and Sae-Tang K and Bubphasawan S and Choompuper J and Zhao XQ and Champreda V and Runguphan W},
  year = {2026},
  journal = {ACS omega},
  doi = {10.1021/acsomega.6c06012},
  url = {https://doi.org/10.1021/acsomega.6c06012}
}

RIS

TY  - JOUR
TI  - Integrating Machine Learning and Transcriptomics to Enhance β‑Carotene Production in Saccharomyces cerevisiae.
AU  - Khamwachirapithak P
AU  - Sae-Tang K
AU  - Bubphasawan S
AU  - Choompuper J
AU  - Zhao XQ
AU  - Champreda V
AU  - Runguphan W
PY  - 2026
JO  - ACS omega
DO  - 10.1021/acsomega.6c06012
UR  - https://doi.org/10.1021/acsomega.6c06012
ER  -

APA

P, K., K, S., S, B., J, C., XQ, Z., V, C., & W, R. (2026). Integrating Machine Learning and Transcriptomics to Enhance β‑Carotene Production in Saccharomyces cerevisiae.. ACS omega. https://doi.org/10.1021/acsomega.6c06012

Source records

pubmed · retrieved 2026-09-26T00:36:23.601Z