Author

Menglu Liang

University of Maryland, College ParkORCID 0000-0002-0185-8557Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 2 Assay:bulk RNA-seq· 1 Assay:electronic health records· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Tianzhou MaiD· 2 shared Zhenyao YeiD· 2 shared Eric Li· 1 shared Feng Li· 1 shared Hongjie Ke· 1 shared Hsin-Hsiung Huang· 1 shared Jianfei QiiD· 1 shared Rong Pan· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Tianzhou MaORCID

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2 papers

Recent·Most cited

FM-GPT: Bayesian fine mapping for phenome-wide transcriptome-wide association studies

Travis A. Canida, Zhenyao Ye, Shao-Hsuan Wang, Hsin-Hsiung Huang, Yezhi Pan, Menglu Liang, Shuo Chen, Tianzhou Ma

FM-GPT is a Bayesian fine mapping method that identifies causal genes in phenome-wide transcriptome-wide association studies, improving accuracy and reducing false positives.

PLoS Genetics · Sep 8, 2026Peer-reviewedBioinformatics

Inferring non-coding RNA regulatory network from transcriptomic data and curated databases

Hongjie Ke, Zhenyao Ye, Feng Li, Zixin Xu, Rong Pan, Eric Li, Jianfei Qi, Shuo Chen, Menglu Liang, Tianzhou Ma

The paper introduces CAR-NET, a framework for inferring non-coding RNA regulatory networks using transcriptomic data and curated databases, showing its effectiveness in simulations and case studies.

bioRxiv · Apr 10, 2025 · PreprintBioinformatics