AutoGERN: Single-Cell RNA-Seq Gene Regulatory Network Inference via Explicit Link Modeling and Adaptive Architectures

The code and data of AutoGERN are available on GitHub at https://github.com/JChander/AutoGERN and on Zenodo at https://doi.org/10.5281/zenodo.18659807.

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Publication Details

Journal
Bioinformatics
Published
2026-03-22
DOI
https://doi.org/10.1093/bioinformatics/btag143
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
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article

AutoGERN: Single-Cell RNA-Seq Gene Regulatory Network Inference via Explicit Link Modeling and Adaptive Architectures

Ya Chen, Jiacheng Wang, Ximei Luo, Quan Zou
Bioinformatics
Single-cell and spatial transcriptomics
article

AutoGERN: Single-Cell RNA-Seq Gene Regulatory Network Inference via Explicit Link Modeling and Adaptive Architectures

Ya Chen, Jiacheng Wang, Ximei Luo, Quan Zou
article en

Abstract

The code and data of AutoGERN are available on GitHub at https://github.com/JChander/AutoGERN and on Zenodo at https://doi.org/10.5281/zenodo.18659807.

Bioinformatics
University of Electronic Science and Technology of China (CN), Quzhou University (CN)
Openalex Percentile: Top 11%
Single-cell and spatial transcriptomics
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AutoGERN: Single-Cell RNA-Seq Gene Regulatory Network Inference via Explicit Link Modeling and Adaptive Architectures — Ya Chen, Jiacheng Wang, et al. · Bioinformatics (2026) | TGRS Research Map | TGRS