Back to search

Article

gExcite - A start-to-end framework for single-cell gene expression, hashing, and antibody analysis

2022-05-24

Abstract excerpt

<h4>Summary</h4> Single-cell RNA sequencing (scRNA-seq) based gene expression analysis is now an established powerful technique to decipher tissues at a single-cell level. Recently, CITE-seq emerged as a multimodal single-cell technology capturing gene expression and surface protein information from the same single-cells, which allows unprecedented insights into disease mechanisms and heterogeneity, as well as im...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
85642f2d-bbab-5de4-bc52-23251a93e20e
DOI
10.1101/2022.05.23.490488
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
gExcite - A start-to-end framework for single-cell gene expression, hashing, and antibody analysisDOI 10.1101/2022.05.23.490488
Select a neighboring publication to make it the new centre.