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Fig. 6 | Genome Biology

Fig. 6

From: scNAT: a deep learning method for integrating paired single-cell RNA and T cell receptor sequencing profiles

Fig. 6

A T cell trafficking trajectory from blood to CSF identified by scNAT. A scNAT UMAP colored by expansion score. BC Slingshot inferred trajectory colored by tissue (B) and pseudotime (C). DE 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 cells

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