Author

Qiliang Lai

Rice UniversityPrimary ORCID profile (0000-0002-0214-2825 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Qiliang LaiiD1 paper · Ministry of Natural Resources

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:GWAS summary statistics· 1 Organism:mouse· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

David A. KnowlesiD· 1 shared Haochen YangiD· 1 shared Jean-Pierre RoussarieiD· 1 shared Jiahao JiangiD· 1 shared Jiayu SuiD· 1 shared Megan D. SchertzeriD· 1 shared Raúl RabadániD· 1 shared Ruth DannenfelseriD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

David A. KnowlesORCID

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2 papers

Recent·Most cited

A computational framework for mapping isoform landscape and regulatory mechanisms from spatial transcriptomics data

Jiayu Su, Yiming Qu, Megan D. Schertzer, Haochen Yang, Jiahao Jiang, Tenzin W. Lhakhang, Theodore M. Nelson, Stella Park, Qiliang Lai, Xi Fu, Seung-won Choi, David A. Knowles, Raúl Rabadán

This paper introduces SPLISOSM, a framework for analyzing spatial transcriptomics data to detect isoform-level patterns, identifying spatially variable transcript diversity and regulatory relationships in mouse and human brain tissues.

bioRxiv · May 2, 2025 · PreprintBioinformatics

Disentangling associations between complex traits and cell types with seismic

Qiliang Lai, Ruth Dannenfelser, Jean-Pierre Roussarie, Vicky Yao

Seismic identifies cell-type-specific associations with complex traits by integrating scRNA-seq and GWAS, revealing trait-relevant cell groups and gene drivers.

bioRxiv · May 4, 2024 · PreprintBioinformatics