An in vitro slow-growth callus conservation strategy for several medicinal plants using response surface methodology and machine learning.

Kim YW, Lee HS, Murthy HN, Lee H, Park SY

DOI: 10.1186/s12896-026-01129-x
Published: 2026 Mar 12
Container: BMC biotechnology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12896-026-01129-x,
  title = {An in vitro slow-growth callus conservation strategy for several medicinal plants using response surface methodology and machine learning.},
  author = {Kim YW and Lee HS and Murthy HN and Lee H and Park SY},
  year = {2026},
  journal = {BMC biotechnology},
  doi = {10.1186/s12896-026-01129-x},
  url = {https://doi.org/10.1186/s12896-026-01129-x}
}

RIS

TY  - JOUR
TI  - An in vitro slow-growth callus conservation strategy for several medicinal plants using response surface methodology and machine learning.
AU  - Kim YW
AU  - Lee HS
AU  - Murthy HN
AU  - Lee H
AU  - Park SY
PY  - 2026
JO  - BMC biotechnology
DO  - 10.1186/s12896-026-01129-x
UR  - https://doi.org/10.1186/s12896-026-01129-x
ER  -

APA

YW, K., HS, L., HN, M., H, L., & SY, P. (2026). An in vitro slow-growth callus conservation strategy for several medicinal plants using response surface methodology and machine learning.. BMC biotechnology. https://doi.org/10.1186/s12896-026-01129-x

Source records

pubmed · retrieved 2026-09-26T12:11:40.839Z