Author

Yi Qi Dai

University of California, IrvineORCID 0000-0003-1219-2436Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Donghoon LeeiD· 2 shared Jason J. LiuiD· 2 shared Mark GersteiniD· 2 shared Ahyeon HwangiD· 1 shared Alexej S. AbyzoviD· 1 shared Ananya S. RajagopalaniD· 1 shared Andrew C. YangiD· 1 shared Andrew J. ChessiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Donghoon LeeORCID

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2 papers

Recent·Most cited

GenomicsSciencePeer-reviewedMay 23, 2024

Single-cell genomics and regulatory networks for 388 human brains

Prashant S. Emani, Jason J. Liu, Declan Clarke…·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.

167 citationstop 1%

humanscRNA-seq

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BioinformaticsBioinformaticsPeer-reviewedApr 26, 2021

DECODE: A Deep-learning Framework for Condensing Enhancers and Refining Boundaries with Large-scale Functional Assays

Zhanlin Chen, Jing Zhang, Jason J. Liu…·Mark Gerstein

DECODE improves enhancer prediction and boundary detection using deep learning and functional assays, achieving higher accuracy and reduced annotation size.

12 citations

mouseChIP-seq

𝕏 PostBluesky