Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2020 Oct 22;10:18014. doi: 10.1038/s41598-020-74917-w

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

PMC Copyright notice

The classic characterization of cell types from RNA-Seq data. (A-1) and (A-2) are conventional workflows for cell type specific expression acquisition before the advent of scRNA-Seq. (A-3) is the current state of the art workflow, and was chosen as the basis for cell type characterization in this study. (B) The workflow in this study. MusNG mouse neuron and glia cell scRNA-seq dataset, HumN human neuronal cell scRNA-seq dataset, HumNG human neuronal and glia cell scRNA-seq dataset.