IGCLAPS: an interpretable graph contrastive learning method with adaptive positive sampling for scRNA-seq data analysis

Authors

Shunfang Wang (ORCID: https://orcid.org/0000-0002-1927-8753)
Wenwen Min (ORCID: https://orcid.org/0000-0002-2558-2911)
Weihua Zheng

Institutions

Yunnan University (CN)

Publication Details

Journal: Bioinformatics
Published: 2025-07-21
DOI: https://doi.org/10.1093/bioinformatics/btaf411
Citations: 2
Primary Topic: Single-cell and spatial transcriptomics
Type: article
Field-Weighted Citation Impact: 1.61

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article

IGCLAPS: an interpretable graph contrastive learning method with adaptive positive sampling for scRNA-seq data analysis

Shunfang Wang, Wenwen Min, Weihua Zheng

Jul 21, 2025

2 citations

Bioinformatics

Single-cell and spatial transcriptomics

1.61

article

IGCLAPS: an interpretable graph contrastive learning method with adaptive positive sampling for scRNA-seq data analysis

Shunfang Wang, Wenwen Min, Weihua Zheng

July 21, 2025article en

2 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(8)

Yunnan University (CN)

Openalex Percentile: Top 16%

Single-cell and spatial transcriptomics

1.61

DOI Open Access PDF OpenAlex

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IGCLAPS: an interpretable graph contrastive learning method with adaptive positive sampling for scRNA-seq data analysis — Shunfang Wang, Wenwen Min, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS