Robust decomposition of cell type mixtures in spatial transcriptomics

A limitation of spatial transcriptomics technologies is that individual measurements may contain contributions from multiple cells, hindering the discovery of cell-type-specific spatial patterns of localization and expression. Here, we develop robust cell type decomposition (RCTD), a computational m...

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Bibliographic Details
Published in:	Nature biotechnology Vol. 40; no. 4; pp. 517 - 526
Main Authors:	Cable, Dylan M., Murray, Evan, Zou, Luli S., Goeva, Aleksandrina, Macosko, Evan Z., Chen, Fei, Irizarry, Rafael A.
Format:	Journal Article
Language:	English
Published:	New York Nature Publishing Group US 01.04.2022 Nature Publishing Group
Subjects:	631/114/2415 631/61 631/61/212 631/61/212/2019 Agriculture Animals Bioinformatics Biomedical and Life Sciences Biomedical Engineering/Biotechnology Biomedicine Biotechnology Computational neuroscience Datasets Decomposition Exome Sequencing Life Sciences Localization Mapping Mice Mixtures Sequence Analysis, RNA Single-Cell Analysis Software Tissues Transcriptome - genetics Transcriptomics
ISSN:	1087-0156, 1546-1696, 1546-1696
Online Access:	Get full text
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