Author

Ge Gao

Peking UniversityORCID 0000-0002-9907-8216Unclaimed ORCID profile · follow to get notified of new preprints

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Ge Gao4 papers · Capital Medical University

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:variant effect prediction· 2 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Nan LiangiD· 2 shared Dong HuangiD· 1 shared Fangyuan ShiiD· 1 shared Jackson ChamperiD· 1 shared Jingyi LiiD· 1 shared Lichen Ren· 1 shared Xiaowei CheniD· 1 shared Yang DingiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

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10 top collaborators · 25 mutual co-author links

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2 shared papersGenomics

Nan LiangORCID

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2 papers

Recent·Most cited

A systematic delineation of 3' UTR regulatory elements and their contextual associations

Nan Liang, Jingyi Li, Yang Ding, Yu Wang, Jackson Champer, Lichen Ren, Ge Gao

The paper identifies 3'UTR regulatory elements using synthetic inserts and a deep learning model, revealing their effects on gene expression and nuclear-cytoplasmic partitioning, and highlights disease-relevant variants.

Cell Systems · Oct 1, 2026Peer-reviewedGenomics

Computational Assessment of the Regulation-Modulating Potential for Noncoding Variants

Fangyuan Shi, Yu Wang, Dong Huang, Yu Liang, Nan Liang, Xiaowei Chen, Ge Gao

This study introduces CARMEN, an algorithm that identifies functional noncoding variants affecting gene expression, showing improved sensitivity and lower false discovery rates compared to existing tools.

bioRxiv · Oct 28, 2019 · PreprintGenomics