Author

Ying Jin

Nanjing General Hospital of Nanjing Military CommandORCID 0000-0002-5211-5083Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Ying Jin2 papers · University of Colorado Anschutz

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Changming ZhangiD· 1 shared Emmanuel J. CandèsiD· 1 shared Gabriele ScaliaiD· 1 shared Jingjing ZhangiD· 1 shared Jingping YangiD· 1 shared Jure LeskoveciD· 1 shared Kangchun Wang· 1 shared Kerry R. BuchholziD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Changming ZhangORCID

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2 papers

Recent·Most cited

In vivo measurement and prediction of cell-type-resolved non-coding variant effects in human immunity

Qiaoqiao Liu, Jingjing Zhang, 诸叶平, Kangchun Wang, Changming Zhang, Ying Jin, Yang Zhang, Zhaojun Liu, Yue Guo, Jingping Yang, Zhihong Liu

The paper measures and predicts non-coding variant effects in human immune cells using single-cell ATAC-seq and whole-genome sequencing, revealing regulatory mechanisms and applications in systemic lupus erythematosus.

medRxiv · May 6, 2026 · PreprintGenetic & Genomic Medicine

TxConformal: Controlling False Discoveries in AI-Driven Therapeutic Discovery

Ying Jin, Kexin Huang, Nathaniel Diamant, Kerry R. Buchholz, Steven T. Rutherford, Nicholas J. Skelton, Tommaso Biancalani, Gabriele Scalia, Jure Leskovec, Emmanuel J. Candès

This paper introduces TxConformal, a framework that controls false discoveries in AI-driven therapeutic discovery by adjusting for distribution shifts and providing confidence measures for AI scores.

bioRxiv · Apr 30, 2026 · PreprintBioinformatics