SPACEL: deep learning-based characterization of spatial transcriptome architectures

SPACEL: deep learning-based characterization of spatial transcriptome architectures

Abstract Spatial transcriptomics (ST) technologies detect mRNA expression in single cells/spots while preserving their two-dimensional (2D) spatial coordinates, allowing researchers to study the spatial distribution of the transcriptome in tissues; however, joint analysis of multiple ST slices and a...

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Bibliographic Details
Main Authors: Hao Xu, Shuyan Wang, Minghao Fang, Songwen Luo, Chunpeng Chen, Siyuan Wan, Rirui Wang, Meifang Tang, Tian Xue, Bin Li, Jun Lin, Kun Qu
Format: Article
Language:English
Published: Nature Portfolio 2023-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-43220-3

Internet

https://doi.org/10.1038/s41467-023-43220-3

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