Latent feature extraction with a prior-based self-attention framework for spatial transcriptomics

Rapid advances in spatial transcriptomics (ST) have revolutionized the interrogation of spatial heterogeneity and increase the demand for comprehensive methods to effectively characterize spatial domains. As a prerequisite for ST data analysis, spatial domain characterization is a crucial step for d...

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Bibliographic Details

Published in:	Genome research Vol. 33; no. 10; p. 1757
Main Authors:	Li, Zhen, Chen, Xiaoyang, Zhang, Xuegong, Jiang, Rui, Chen, Shengquan
Format:	Journal Article
Language:	English
Published:	United States 01.10.2023
Subjects:	Bayes Theorem Gene Expression Profiling Neural Networks, Computer Spatial Analysis Transcriptome
ISSN:	1549-5469, 1549-5469
Online Access:	Get more information
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