f4-statistics-based ancestry profiling and convolutional neural network phenotyping shed new light on the structure of genetic and spike shape diversity in Aegilops tauschii Coss.
Yoshihiro Koyama, Mizuki Nasu, Yoshihiro Matsuoka
The paper uses f4-statistics and convolutional neural networks to analyze genetic ancestry and spike shape diversity in Aegilops tauschii, revealing lineage structure and potential for machine learning-based classification.
bioRxiv · Feb 16, 2025 · PreprintEvolutionary Biology