Hyperbolic topological data analysis mapper reveals dynamic trait-environment patterns in plant phenomics.

Zdražil J, Kong L, Spíchal L, Snášel V, De Diego N

Open source

DOI
10.1016/j.plaphe.2026.100186
Published
2026 Jun
Container
Plant phenomics (Washington, D.C.)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.plaphe.2026.100186,
  title = {Hyperbolic topological data analysis mapper reveals dynamic trait-environment patterns in plant phenomics.},
  author = {Zdražil J and Kong L and Spíchal L and Snášel V and De Diego N},
  year = {2026},
  journal = {Plant phenomics (Washington, D.C.)},
  doi = {10.1016/j.plaphe.2026.100186},
  url = {https://doi.org/10.1016/j.plaphe.2026.100186}
}

RIS

TY  - JOUR
TI  - Hyperbolic topological data analysis mapper reveals dynamic trait-environment patterns in plant phenomics.
AU  - Zdražil J
AU  - Kong L
AU  - Spíchal L
AU  - Snášel V
AU  - De Diego N
PY  - 2026
JO  - Plant phenomics (Washington, D.C.)
DO  - 10.1016/j.plaphe.2026.100186
UR  - https://doi.org/10.1016/j.plaphe.2026.100186
ER  - 

APA

J, Z., L, K., L, S., V, S., & N, D. D. (2026). Hyperbolic topological data analysis mapper reveals dynamic trait-environment patterns in plant phenomics.. Plant phenomics (Washington, D.C.). https://doi.org/10.1016/j.plaphe.2026.100186

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