HiSTaR: identifying spatial domains with hierarchical spatial transcriptomics variational autoencoder

HiSTaR offers an effective computational tool for spatial transcriptomics research. By capturing hierarchical latent features, it improves spatial domain identification. This framework holds potential to advance understanding of tissue heterogeneity and spatially resolved gene expression patterns.

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Publication Details

Journal
Journal of Translational Medicine
Published
2025-12-23
DOI
https://doi.org/10.1186/s12967-025-07404-3
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
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article

HiSTaR: identifying spatial domains with hierarchical spatial transcriptomics variational autoencoder

P Xu, W. Liu, Jia Yuan, Zheng Ye et al.
Journal of Translational Medicine
Single-cell and spatial transcriptomics
article

HiSTaR: identifying spatial domains with hierarchical spatial transcriptomics variational autoencoder

P Xu, W. Liu, Jia Yuan, Zheng Ye, Qianbei Yi, Junhua Yu
article en

Abstract

HiSTaR offers an effective computational tool for spatial transcriptomics research. By capturing hierarchical latent features, it improves spatial domain identification. This framework holds potential to advance understanding of tissue heterogeneity and spatially resolved gene expression patterns.

Journal of Translational MedicineVol. 23(1)
Guangzhou University (CN), Qiannan Normal College For Nationalities (CN)
Openalex Percentile: Top 36%
Single-cell and spatial transcriptomics
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