SCimilarity Tutorial Data (Q6683756)

SCimilarity is a unifying representation of single-cell expression profiles that quantifies similarity between expression states and generalizes to represent new studies without additional training. This enables a novel cell search capability, which sifts through millions of profiles to find cells similar to a query cell state and allows researchers to quickly and systematically leverage massive public scRNA-seq atlases to learn about a cell state of interest. This repository contains public datasets for SCimilarity tutorials, specifically: A subsample of single-cell data from Adams, et al. Science Advances, 2020 (GSE136831) as an AnnData object inh5ad format. Terms ofGSE136831: Used with permission. Research developed by TLC4PF and the Yale School of Medicine led by Dr. Naftali Kaminski. 2023 Pulmonary Fibrosis Cell Atlas website and associated content. All rights reserved. Please see the project website for more information:www.IPFCellAtlas.com In addition, please cite (https://www.science.org/doi/10.1126/sciadv.aba1983and for a description of the website creation methodology please cite (https://doi.org/10.1152/ajplung.00451.2020).