CLCNet: a contrastive learning and chromosome-aware network for genomic prediction in plants
Jiangwei Huang, Zhihan Yang, Mou Yin, Chao Li, Jinmin Li, Yu Wang, Lu Huang, Miaomiao Li, Chengzhi Liang, Fei He, Rongcheng Han, Yuqiang Jiang
CLCNet improves genomic prediction accuracy in plants by integrating contrastive learning and chromosome-aware feature selection, outperforming existing models across four crop species and ten traits.
Briefings in Bioinformatics · May 1, 2026Peer-reviewedBioinformatics