Yu Wang

ScProteoAgent translates natural-language requests into single-cell proteomics analyses, preserving analytical state and enabling follow-up queries with high benchmark performance.

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.