Author

Yuanxu Gao

Peking UniversityORCID 0000-0001-5314-0195Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:mouse· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Qinghua CuiiD· 2 shared Yuan ZhouiD· 2 shared Chunmei CuiiD· 1 shared Jiangcheng ShiiD· 1 shared Jinzhuo WangiD· 1 shared Kaiwen JiaiD· 1 shared Rongbo DaiiD· 1 shared Rui PengiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Qinghua CuiORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 5, 2025

CellProphet: Dissecting Virtual Cell Differentiation through AI-Powered Dynamic Gene Regulatory Network Inference

Rui Peng, Yuanxu Gao, Yihan Chen, Jinzhuo Wang

CellProphet infers dynamic gene regulatory networks using AI, outperforming existing methods in differentiation datasets and accurately predicting cell fate transitions in mouse models.

1 citation

mousescRNA-seq

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BioinformaticsbioRxivPreprintDec 13, 2021

Modeling of microRNA-derived disease network repurposes methotrexate for the prevention and therapy of abdominal aortic aneurysm in mice

Yicong Shen, Yuanxu Gao, Jiangcheng Shi…·Qinghua Cui

The paper models a microRNA-derived disease network to identify methotrexate as a potential therapy for abdominal aortic aneurysm in mice.

1 citation

mousestatistical model

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BioinformaticsbioRxivPreprintJun 11, 2020

RPRH: a web-based tool for the inference of potential roles of plant microRNAs in human body

Yuanxu Gao, Chunmei Cui, Kaiwen Jia…·Qinghua Cui

RPRH infers potential roles of plant miRNAs in humans and profiles their regulatory functions using a database of 10414 miRNAs and 18062 annotations.

DOI 10.1101/2020.06.11.145367

database / resource

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