Author

Bowen Liu

Institute of Medical Science, The University of TokyoORCID 0009-0002-7417-7186Unclaimed ORCID profile · follow to get notified of new preprints

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Bowen Liu1 paper

Biology Disciplines

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Bioinformatics· 2

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scATAC-seq· 1

Frequent Co-Authors

Kenta NakaiiD· 2 shared Weihang ZhangiD· 2 shared Fujio ToriumiiD· 1 shared Kang XuiD· 1 shared Martin LozaiD· 1 shared Shu LiuiD· 1 shared Sung‐Joon ParkiD· 1 shared Xin ZengiD· 1 shared

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2024-2025 · peak 1/yr

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9 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Kenta NakaiORCID

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2 papers

Recent·Most cited

BioinformaticsBMC BioinformaticsPeer-reviewedMay 24, 2025

Gene2role: a role-based gene embedding method for comparative analysis of signed gene regulatory networks

Xin Zeng, Shu Liu, Bowen Liu…·Kenta Nakai

Gene2role embeds genes using multi-hop topological information from signed GRNs to identify topological changes across cell types and quantify module stability.

2 citations

statistical modelmachine learning (classical)

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BioinformaticsBriefings in BioinformaticsPeer-reviewedMar 21, 2024

HyGAnno: Hybrid graph neural network-based cell type annotation for single-cell ATAC sequencing data

Weihang Zhang, Yang Cui, Bowen Liu…·Kenta Nakai

HyGAnno transfers cell type labels from scRNA-seq to scATAC-seq using a graph neural network, improving annotation accuracy and robustness.

3 citations

humanscATAC-seq

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