Author

Ximing Niang

Xiamen University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 1

Signature Assays, Organisms & Methods

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Assay:CRISPR screen· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Fei Chen· 1 shared Fei TengiD· 1 shared Han ZhangiD· 1 shared Hongli Lin· 1 shared Jialiang HuangiD· 1 shared Jinxian Dai· 1 shared Liquan LiniD· 1 shared Ruipu LiangiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Fei Chen

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1 paper

Recent·Most cited

eScreen: a deep learning framework for functionally decoding the regulatory genome at single-nucleotide resolution

Shijie Luo, Liquan Lin, Han Zhang, Yiding Yang, Yunxiang Liu, Yingli Han, Fei Chen, Ruipu Liang, Ximing Niang, Jinxian Dai, Run Chen, Hongli Lin, Zhijie Li, Yongying Peng, Fei Teng, Jialiang Huang

The paper introduces eScreen, a deep learning model that decodes regulatory genome function at single-nucleotide resolution using CRISPR screen data, achieving high accuracy and mechanistic interpretation.

bioRxiv · Feb 5, 2026 · PreprintGenomics