Decoding functional genes across species with annotation-independent machine learning
Yanghe Xie, Leyu Li, Geyi Zhu, Peicheng Lu, Jinming Ma, Wenjia Tao, Jiajing Tang, Chuanhong Wang, Guomin Han
The paper introduces an annotation-independent machine learning framework to identify functional genes across species for shared phenotypes, demonstrating effectiveness in plant-mycorrhizal symbiosis, vertebrate skeletal development, and bacterial traits.
bioRxiv · Jul 4, 2025 · PreprintGenomics