Joint cell segmentation and cell type annotation for spatial transcriptomics

Joint cell segmentation and cell type annotation for spatial transcriptomics

Abstract RNA hybridization‐based spatial transcriptomics provides unparalleled detection sensitivity. However, inaccuracies in segmentation of image volumes into cells cause misassignment of mRNAs which is a major source of errors. Here, we develop JSTA, a computational framework for joint cell segm...

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Bibliographic Details
Main Authors: Russell Littman, Zachary Hemminger, Robert Foreman, Douglas Arneson, Guanglin Zhang, Fernando Gómez‐Pinilla, Xia Yang, Roy Wollman
Format: Article
Language:English
Published: Wiley 2021-06-01
Series:Molecular Systems Biology
Subjects:
cell segmentation and annotation
scRNAseq
single cell multiomics integration
spatial differentially expressed genes
spatial transcriptomics
Online Access:https://doi.org/10.15252/msb.202010108

Internet

https://doi.org/10.15252/msb.202010108

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