Author

Yuling Jiao

Wuhan UniversityORCID 0000-0003-2762-0421Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:gene regulatory network inference· 2 Research Focus:GWAS / association mapping· 2 Research Focus:batch correction / integration· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Jin LiuiD· 3 shared Xingjie ShiiD· 3 shared Yi YangiD· 3 shared Can YangiD· 2 shared Jian HuangiD· 2 shared Haoyue CheniD· 1 shared Hongkai JiiD· 1 shared Joe Poh-Sheng YeongiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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3 shared papersBioinformatics

Jin LiuORCID

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3 papers

Recent·Most cited

GenomicsNature CommunicationsPeer-reviewedJan 18, 2023

Probabilistic embedding, clustering, and alignment for integrating spatial transcriptomics data with PRECAST

Wei Liu, Xu Liao, Ziye Luo…·Jin Liu

PRECAST integrates spatial transcriptomics data from multiple sources, improving cell and domain detection through probabilistic embedding, clustering, and alignment.

118 citationstop 1%

spatial transcriptomicsstatistical model

𝕏 PostBluesky

BioinformaticsNucleic Acids ResearchPeer-reviewedSep 3, 2020

A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies

Xingjie Shi, Xiaoran Chai, Yi Yang…·Jin Liu

This paper introduces TisCoMM, a tissue-specific collaborative mixed model for TWAS that improves gene-trait association detection and identifies tissue-specific gene roles in complex traits.

27 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedNov 21, 2019

CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies

Yi Yang, Xingjie Shi, Yuling Jiao…·Jin Liu

CoMM-S2 uses GWAS summary statistics to infer mechanistic roles of genetic variants in gene expression, achieving performance comparable to methods using individual-level data.

33 citations

GWAS summary statisticsstatistical model

𝕏 PostBluesky