Author

Lin Huang

University of Maryland, College ParkORCID 0000-0002-4892-7871Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Lin Huang5 papers · Stanford University

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Research Focus:gene regulatory network inference· 2 Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1

Frequent Co-Authors

James T. MortoniD· 2 shared Adam KimiD· 1 shared Alan K. JarmuschiD· 1 shared Alexander A. AksenoviD· 1 shared Ali LotfiiD· 1 shared Iris LeeiD· 1 shared Jiaao YuiD· 1 shared Lijun ZhangiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersBioinformatics

James T. MortonORCID

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3 papers

Recent·Most cited

Structured cross-omics interaction discovery with a triple-graph model

Jiaao Yu, Lin Huang, Shuo Chen

The paper introduces TriGer, a triple-graph model that identifies cross-omics modules by combining cross-layer associations with dependency structures, showing effectiveness in inflammatory bowel disease and colorectal cancer.

bioRxiv · Sep 16, 2026 · PreprintBioinformatics

Efficient and scalable Python implementation of ANCOM-BC for omics differential abundance testing

Zijun Wu, Lin Huang, James T. Morton, Qiyun Zhu

The paper presents a Python implementation of ANCOM-BC for differential abundance testing, achieving 100x faster runtime and 87% less memory use compared to the R version.

bioRxiv · Jan 28, 2026 · PreprintBioinformatics

Protocol for constructing correlation-based molecular networks from large-scale untargeted metabolomics data

Lin Huang, Lijun Zhang, Ali Lotfi, Alan K. Jarmusch, Iris Lee, Adam Kim, James T. Morton, Alexander A. Aksenov

This paper describes a protocol using MetVAE to construct molecular networks from metabolomics data, identifying lipid correlations in a mouse model.

bioRxiv · Apr 26, 2025 · PreprintBioinformatics