Author

Yuan Hu

Peking UniversityORCID 0000-0002-3031-9341Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Approach:simulation· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Jackson ChamperiD· 1 shared Lee W. RileyiD· 1 shared Reina YamajiiD· 1 shared Sheila M. AdamsiD· 1 shared Weitang Sun· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperGenetics

Jackson ChamperORCID

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2 papers

Recent·Most cited

GeneticsiSciencePeer-reviewedMar 4, 2026

A simulation-based deep learning framework for spatially explicit malaria modeling of CRISPR suppression gene drive mosquitoes

Yuan Hu, Weitang Sun, Jackson Champer

This study uses a simulation-based deep learning model to analyze how different parameters affect mosquito suppression and malaria prevalence in Anopheles gambiae.

2 citations

deep learningsimulation

𝕏 PostBluesky

BioinformaticsMicrobiology SpectrumPeer-reviewedDec 7, 2023

Genetic features of antimicrobial drug-susceptible extraintestinal pathogenic Escherichia coli pandemic sequence type 95

Yuan Hu, Reina Yamaji, Sheila M. Adams, Lee W. Riley

The paper identifies genomic features of ST95 ExPEC strains that contribute to their high drug-susceptibility despite widespread prevalence.

5 citations

E. coliwhole-genome sequencing

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