Author

Jiayi Bian

University of CalgaryORCID 0009-0001-8873-4839Unclaimed 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 Assay:GWAS summary statistics· 2 Research Focus:variant effect prediction· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Quan LongiD· 3 shared Jingjing WuiD· 2 shared Jun Yi YaniD· 2 shared Lang WuiD· 2 shared Qing LiiD· 2 shared Albert Leung· 1 shared Caifeng LiiD· 1 shared Cooper Gau· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBioinformatics

Quan LongORCID

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3 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

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GeneticsGeneticsPeer-reviewedFeb 5, 2024

An expression-directed linear mixed model (edLMM) discovering low-effect genetic variants

Qing Li, Jiayi Bian, Yanzhao Qian…·Quan Long

This paper introduces edLMM, a method that detects low-effect genetic variants using moderate sample sizes, improving missing heritability estimation.

1 citation

humanGWAS summary statistics

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