Negative frequency-dependent selection: a positive outlook with deep learning.

Santander CG, Campelo Dos Santos AL, Arnab SP, Fumagalli M, DeGiorgio M.

Open source

DOI
10.1098/rstb.2025.0170
Published
2026-06-01
Container
Philos Trans R Soc Lond B Biol Sci
Publisher
Not recorded
Open access
no

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1098/rstb.2025.0170,
  title = {Negative frequency-dependent selection: a positive outlook with deep learning.},
  author = {Santander CG and  Campelo Dos Santos AL and  Arnab SP and  Fumagalli M and  DeGiorgio M.},
  year = {2026},
  journal = {Philos Trans R Soc Lond B Biol Sci},
  doi = {10.1098/rstb.2025.0170},
  url = {https://doi.org/10.1098/rstb.2025.0170}
}

RIS

TY  - JOUR
TI  - Negative frequency-dependent selection: a positive outlook with deep learning.
AU  - Santander CG
AU  -  Campelo Dos Santos AL
AU  -  Arnab SP
AU  -  Fumagalli M
AU  -  DeGiorgio M.
PY  - 2026
JO  - Philos Trans R Soc Lond B Biol Sci
DO  - 10.1098/rstb.2025.0170
UR  - https://doi.org/10.1098/rstb.2025.0170
ER  - 

APA

CG, S., AL, C. D. S., SP, A., M, F., & M., D. (2026). Negative frequency-dependent selection: a positive outlook with deep learning.. Philos Trans R Soc Lond B Biol Sci. https://doi.org/10.1098/rstb.2025.0170

Source records