📢Ole Winther and colleagues present SpatialFormer, a transformer-based model for spatial transcriptomics to learn single-cell multimodal and multi-scale information in the niche context. www.nature.com/articles/s43... 🖥️ 🧬 🔓 rdcu.be/fw3dm
SpatialFormer: universal spatial representation learning from subcellular molecular to multicellular landscapes - Nature Computational ScienceSpatialFormer, a transformer-based model for spatial transcriptomics, learns cell–cell relationships to predict cell co-localization, annotate cell types and niches, and reveal cell communication gene...www.nature.com