Fig. 6From: scNAT: a deep learning method for integrating paired single-cell RNA and T cell receptor sequencing profilesA T cell trafficking trajectory from blood to CSF identified by scNAT. A scNAT UMAP colored by expansion score. B, C Slingshot inferred trajectory colored by tissue (B) and pseudotime (C). D, E Genes that are associated with the trajectory identified by TradeSeq in UMAP (left) and the corresponding smoothers (right). F A cluster of T cells that are in transitioning state. G Upregulated GO pathways of the transitioning cluster compared with other cellsBack to article page