Branching principles of animal and plant networks identified by combining extensive data, machine learning and modelling.
Published in Journal of the Royal Society Interface, 2021
Recommended citation: Brummer, A. B., Lymperopoulos, P., Shen, J., Tekin, E., Bentley, L. P., Buzzard, V., Gray, A., Oliveras, I., Enquist, B. J., & Savage, V. M. (2021). Branching principles of animal and plant networks identified by combining extensive data, machine learning and modelling. Journal of the Royal Society Interface, 18 (174), 20200624. https://royalsocietypublishing.org/doi/10.1098/rsif.2020.0624
Modelling the branching of vascular network tissue as asymmetric fractal structures. The model is further investigate in its ability to describe and discriminate between various species.
Recommended citation: Brummer, A. B., Lymperopoulos, P., Shen, J., Tekin, E., Bentley, L. P., Buzzard, V., Gray, A., Oliveras, I., Enquist, B. J., & Savage, V. M. (2021). Branching principles of animal and plant networks identified by combining extensive data, machine learning and modelling. Journal of the Royal Society Interface, 18 (174), 20200624.