Harnessing deep learning to analyze cryptic morphological variability of Marchantia polymorpha
Y. Tomizawa, N. Minamino, E. Shimokawa, S. Kawamura, A. Komatsu, T. Hiwatashi, R. Nishihama, T. Ueda, T. Kohchi, Y. Kondo
This paper uses deep learning to classify sex in Marchantia polymorpha gemmalings, revealing that morphological differences are due to autosomal variation rather than sexual dimorphism.
bioRxiv · May 31, 2023 · PreprintPlant Biology