Enhancing and accelerating cell type deconvolution of large-scale spatial transcriptomics slices with dual network model

Authors

Shaoqing Feng (ORCID: https://orcid.org/0000-0002-8367-6510)
Xiaoke Ma (ORCID: https://orcid.org/0000-0002-5604-7137)
Yong Zha (ORCID: https://orcid.org/0000-0002-0382-0990)
Peng Gao (ORCID: https://orcid.org/0000-0002-7785-2389)
Q. Zou (ORCID: https://orcid.org/0000-0003-0038-5038)

Institutions

Xidian University (CN)
University of Electronic Science and Technology of China (CN)
Shanghai Ninth People's Hospital (CN)
First Affiliated Hospital of Xi'an Jiaotong University (CN)

Publication Details

Journal: Bioinformatics
Published: 2025-07-24
DOI: https://doi.org/10.1093/bioinformatics/btaf419
Citations: 2
Primary Topic: Single-cell and spatial transcriptomics
Type: article
Field-Weighted Citation Impact: 1.61

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article

Enhancing and accelerating cell type deconvolution of large-scale spatial transcriptomics slices with dual network model

Shaoqing Feng, Xiaoke Ma, Yong Zha, Peng Gao et al.

Jul 24, 2025

2 citations

Bioinformatics

Single-cell and spatial transcriptomics

1.61

article

Enhancing and accelerating cell type deconvolution of large-scale spatial transcriptomics slices with dual network model

Shaoqing Feng, Xiaoke Ma, Yong Zha, Peng Gao, Q. Zou

July 24, 2025article en

2 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(8)

Xidian University (CN), University of Electronic Science and Technology of China (CN), Shanghai Ninth People's Hospital (CN), First Affiliated Hospital of Xi'an Jiaotong University (CN)

Openalex Percentile: Top 16%

Single-cell and spatial transcriptomics

1.61

DOI Open Access PDF OpenAlex

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