Author

Yunyang Li

Yale University

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Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:gene regulatory network inference· 2 Approach:machine learning (classical)· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Mark GersteiniD· 3 shared Diego Garrido-MartíniD· 2 shared Jason J. LiuiD· 2 shared Matthew J. GirgentiiD· 2 shared Matthew JenseniD· 2 shared Shaoke LouiD· 2 shared Ahyeon HwangiD· 1 shared Alexej S. AbyzoviD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Mark GersteinORCID

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3 papers

Recent·Most cited

NoisyFlow: Differentially Private Optimal Transport Using Neural Networks for Secure Biomedical Data Sharing

Yunyang Li, Nikhil Khandekar, Skylar Wang, Varada Vivek Khanna, Julian Sanker, Mark Gerstein

NoisyFlow enables secure biomedical data sharing by aligning data distributions across institutions using differentially private optimal transport with neural networks.

bioRxiv · Jan 31, 2025 · PreprintBioinformatics

Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations

Jason J. Liu, Beatrice Borsari, Yunyang Li, Susanna X. Liu, Yuan Gao, Xin Xin, Shaoke Lou, Matthew Jensen, Diego Garrido-Martín, Terril L. Verplaetse, Garrett I. Ash, Jing Zhang, Matthew J. Girgenti, Walter Roberts, Mark Gerstein

This paper uses wearable data and AI to identify genetic associations with psychiatric disorders by creating intermediate phenotypes from continuous physiological features.

Cell · Dec 19, 2024Peer-reviewedGenetic & Genomic Medicine

Single-cell genomics and regulatory networks for 388 human brains

Prashant S. Emani, Jason J. Liu, Declan Clarke, Matthew Jensen, Jonathan Warrell, Chirag Gupta, Ran Meng, Che-Yu Lee, Siwei Xu, Cagatay Dursun, Shaoke Lou, Yuhang Chen, Zhiyuan Chu, Timur R. Galeev, Ahyeon Hwang, , Gregory M. Cooper

The paper processes single-nuclei multi-omics data from 388 human brains to identify regulatory elements and build cell-type networks, revealing changes in aging and neuropsychiatric disorders.

Science · May 23, 2024Peer-reviewedGenomics