ReSort enhances reference-based cell type deconvolution for spatial transcriptomics through regional information integration

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf091
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

ReSort enhances reference-based cell type deconvolution for spatial transcriptomics through regional information integration

Zhandong Liu, Chaozhong Liu, Guantong Qi, Wanli Wang et al.
Bioinformatics Advances
Single-cell and spatial transcriptomics
article

ReSort enhances reference-based cell type deconvolution for spatial transcriptomics through regional information integration

Zhandong Liu, Chaozhong Liu, Guantong Qi, Wanli Wang, Xiang H.-F. Zhang, Ling Wu, Linhua Wang
article en

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
Texas Medical Center (US), Baylor College of Medicine (US), Quantitative BioSciences (US), Neurological Research Institute (US), Texas Children's Hospital (US), Baylor Genetics (US)
National Institutes of Health
Openalex Percentile: Top 77%
Single-cell and spatial transcriptomics
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ReSort enhances reference-based cell type deconvolution for spatial transcriptomics through regional information integration — Zhandong Liu, Chaozhong Liu, et al. · Bioinformatics Advances (2024) | TGRS Research Map | TGRS