A multi-view graph convolutional network framework based on adaptive adjacency matrix and multi-strategy fusion mechanism for identifying spatial domains

Authors

Yuhan Fu
Mengdi Nan
Jie Gao (ORCID: https://orcid.org/0000-0002-5189-8338)
Xiang Chen (ORCID: https://orcid.org/0000-0001-5682-9879)
Qing Ren (ORCID: https://orcid.org/0000-0003-3479-6679)

Institutions

Jiangnan University (CN)

Publication Details

Journal: Bioinformatics
Published: 2025-03-29
DOI: https://doi.org/10.1093/bioinformatics/btaf172
Primary Topic: Single-cell and spatial transcriptomics
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Natural Science Foundation of China

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article

A multi-view graph convolutional network framework based on adaptive adjacency matrix and multi-strategy fusion mechanism for identifying spatial domains

Yuhan Fu, Mengdi Nan, Jie Gao, Xiang Chen et al.

Mar 29, 2025

Bioinformatics

Single-cell and spatial transcriptomics

article

A multi-view graph convolutional network framework based on adaptive adjacency matrix and multi-strategy fusion mechanism for identifying spatial domains

Yuhan Fu, Mengdi Nan, Jie Gao, Xiang Chen, Qing Ren

March 29, 2025article en

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(4)

Jiangnan University (CN)

National Natural Science Foundation of China

Openalex Percentile: Top 93%

Single-cell and spatial transcriptomics

DOI Open Access PDF OpenAlex

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A multi-view graph convolutional network framework based on adaptive adjacency matrix and multi-strategy fusion mechanism for identifying spatial domains — Yuhan Fu, Mengdi Nan, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS