Interpretation of T cell states from single-cell transcriptomics data using reference atlases
One challenge of single cell RNA sequencing analysis is how to consistently identify cell subtypes and states across different datasets. Here the authors propose the use of a reference single-cell atlas as a stable system of coordinates to characterize T cell states across studies, diseases and spec...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-05-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-021-23324-4 |