Bridging Morphology and Genomics: A rapid image-based assessment of genomic admixture in the endangered gayal (Bos frontalis)
Juntao Ma, Yuming Chen, Zhifan Guo, Jian Xiao, JiFan Yan, Haihong Wu, Jing Luo, Ya-Ping Zhang, Yan Li
This study develops an AI framework to predict genomic admixture from morphological images of gayal, achieving 87.87% accuracy in admixture estimation.
bioRxiv · Aug 25, 2026 · PreprintZoology