From big data to mechanistic insights: decoding plant complexity with models.

Politsch JE, González-Delgado A, Wabnik K

DOI: 10.1016/j.copbio.2025.103428
Published: 2026 Feb
Container: Current opinion in biotechnology
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.copbio.2025.103428,
  title = {From big data to mechanistic insights: decoding plant complexity with models.},
  author = {Politsch JE and González-Delgado A and Wabnik K},
  year = {2026},
  journal = {Current opinion in biotechnology},
  doi = {10.1016/j.copbio.2025.103428},
  url = {https://doi.org/10.1016/j.copbio.2025.103428}
}

RIS

TY  - JOUR
TI  - From big data to mechanistic insights: decoding plant complexity with models.
AU  - Politsch JE
AU  - González-Delgado A
AU  - Wabnik K
PY  - 2026
JO  - Current opinion in biotechnology
DO  - 10.1016/j.copbio.2025.103428
UR  - https://doi.org/10.1016/j.copbio.2025.103428
ER  -

APA

JE, P., A, G., & K, W. (2026). From big data to mechanistic insights: decoding plant complexity with models.. Current opinion in biotechnology. https://doi.org/10.1016/j.copbio.2025.103428

Source records

pubmed · retrieved 2026-09-26T17:07:36.603Z