Author

Manqi Zhou

Cornell UniversityORCID 0000-0001-6238-3228Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:scATAC-seq· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Approach:deep learning· 1

Frequent Co-Authors

Yue LiiD· 2 shared Dylan Mann‐KrzisnikiD· 1 shared Fang WangiD· 1 shared Fei WangiD· 1 shared Hao ZhangiD· 1 shared Wenqi DongiD· 1 shared Zilong BaiiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersGenomics

Yue LiORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintJan 24, 2025

scGRIP: a graph-based explainable AI framework for single-cell multi-omics Gene Regulatory Inference with Prior Knowledge

Wenqi Dong, Manqi Zhou, Fang Wang, Yue Li

scGRIP improves gene regulatory network inference in single-cell multi-omics data by integrating prior knowledge and explainable AI techniques.

2 citations

𝕏 PostBluesky

BioinformaticsCell Reports MethodsPeer-reviewedAug 1, 2023

Single-cell multi-omic topic embedding reveals cell-type-specific and COVID-19 severity-related immune signatures

Manqi Zhou, Hao Zhang, Zilong Bai…·Yue Li

This study introduces moETM, a deep learning method for analyzing single-cell multi-omic data, and shows it identifies immune signatures and COVID-19 severity biomarkers.

24 citations

𝕏 PostBluesky