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

BioinformaticsbioRxivPreprintJul 31, 2025

OmniCellAgent: An AI Scientist for Omic-Driven Scientific Discovery

Di Huang, Hao Li, Wenyu Li…·Fuhai Li

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

4 citations

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 2, 2022

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…·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.

DOI 10.1101/2022.11.02.514928

𝕏 PostBluesky