Author

Wenyu Li

Washington University in St. LouisORCID 0000-0002-8907-7893Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Fuhai LiiD· 2 shared Philip PayneiD· 2 shared Carlos CruchagaiD· 1 shared David DeNardo· 1 shared Di HuangiD· 1 shared Guangfu LiiD· 1 shared Hao LiiD· 1 shared Heming ZhangiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersBioinformatics

Fuhai LiORCID

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2 papers

Recent·Most cited

OmniCellAgent: An AI Scientist for Omic-Driven Scientific Discovery

Di Huang, Hao Li, Wenyu Li, Heming Zhang, Tianqi Xu, Yifei Lu, Kaiwen Fang, Zixi Xu, Justin Chen, Patricia Dickson, Marco Sardiello, William Buchser, Jonathan D. Cooper, Carlos Cruchaga, Pirooz Eghtesady, , Fuhai Li

OmniCellAgent autonomously retrieves and analyzes scRNA-seq datasets to generate structured reports and hypotheses across disease settings.

bioRxiv · Jul 31, 2025 · PreprintBioinformatics

Decipher macrophage-fibroblast-cardiomyocyte signaling interactions associated with heart failure using deep graph neural network models and single-cell RNA-seq data

Wenyu Li, Jiarui Feng, Philip Payne, Yixin Chen, Fuhai Li

This study uses deep learning models and single-cell RNA-seq data to identify molecular targets and signaling pathways involved in macrophage-fibroblast-cardiomyocyte interactions in heart failure.

bioRxiv · Nov 2, 2022 · PreprintBioinformatics