Back to Search Start Over

Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data

Authors :
Patrick Danaher
Youngmi Kim
Brenn Nelson
Maddy Griswold
Zhi Yang
Erin Piazza
Joseph M. Beechem
Source :
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

The deconvolution of cell types is challenging in spatially-resolved transcriptomics. Here, the authors present SpatialDecon, a method for the deconvolution and quantification of cell types in spatial transcriptomics data, and show how it can be used to analyse immune response heterogeneity in cancer.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.ba0279349f04ac89ac1e8298ddcae26
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-022-28020-5