SpaAxFormer: Fine-Grained Token Modeling of Spatial Transcriptomics with Axial Transformers
Spatial transcriptomics combines gene-expression measurements with spatial relationships between cells. We investigate how spatial context can be incorporated into gene-resolved representations while preserving explicit input-gene correspondence. SpaAxFormer is a spatially constrained factorized formulation that maintains contextual cell-gene states throughout the encoder. It first contextualizes…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
