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Article

Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model

2021-11-11

Abstract excerpt

<h4>ABSTRACT</h4> Spatial transcriptomics technologies have recently emerged as a powerful tool for measuring spatially resolved gene expression directly in tissues sections, revealing cell types and their dysfunction in unprecedented detail. However, spatial transcriptomics technologies are limited in their ability to separate transcriptionally similar cell types and can suffer further difficulties identifying c...

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Literature Corpus work
e04160c3-c7fd-5033-b8a5-5310350a5d08
DOI
10.1101/2021.11.10.468082
Open publication

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Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic modelDOI 10.1101/2021.11.10.468082
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