Author

Jingjing Wu

University of CalgaryORCID 0000-0003-4555-1490Unclaimed ORCID profile · follow to get notified of new preprints

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Jingjing Wu1 paper · University of Calgary

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Jiayi BianiD· 2 shared Lang WuiD· 2 shared Quan LongiD· 2 shared Albert Leung· 1 shared Caifeng LiiD· 1 shared Janith WeeramaniD· 1 shared Jun Yi YaniD· 1 shared M. Ethan MacDonaldiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

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10 top collaborators · 35 mutual co-author links

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2 shared papersBioinformatics

Jiayi BianORCID

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2 papers

Recent·Most cited

BioinformaticsGeneticsPeer-reviewedMay 11, 2026

Kernel-smoothed permutation for extreme P-value estimation in genetic association studies

Jiayi Bian, Jingjing Wu, M. Ethan MacDonald…·Caifeng Li

The paper introduces a model-free permutation method to estimate P-values in genetic studies, reducing computational demands while maintaining accuracy.

DOI 10.1093/genetics/iyag119

GWAS summary statisticsstatistical model

𝕏 PostBluesky

BioinformaticsIEEE Transactions on Computational Biology and BioinformaticsPeer-reviewedMay 9, 2025

Autoencoder-transformed transcriptome improves genotype-phenotype association studies

Qing Li, Jiayi Bian, Janith Weeraman…·Quan Long

The paper introduces AE-TWAS, a method that improves genotype-phenotype association studies by transforming transcriptome data with autoencoders to enhance expression heritability and TWAS performance.

2 citations

bulk RNA-seqstatistical model

𝕏 PostBluesky