Author

Miao Yu

Icahn School of Medicine at Mount SinaiORCID 0000-0002-2804-6014Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Miao Yu2 papers · Second Affiliated Hospital of Zhejiang University

Biology Disciplines

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Bioinformatics· 3 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Assay:metabolomics· 2 Assay:metagenomics· 2 Approach:simulation· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Anna RoszkowskaiD· 1 shared Janusz B. PawliszyniD· 1 shared Jian Zheng· 1 shared Lauren M. PetrickiD· 1 shared Lihong CheniD· 1 shared Lizhen Huang· 1 shared Shuiping Yan· 1 shared Si AiiD· 1 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Anna RoszkowskaORCID

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4 papers

Recent·Most cited

mzrtsim: Raw Data Simulation for Reproducible Gas/Liquid Chromatography Mass Spectrometry Based Non-targeted Metabolomics Data Analysis

Miao Yu, Vivek M. Philip

The paper introduces mzrtsim, an R package that simulates raw metabolomics data for comparing software tools against a ground truth.

Analytical Chemistry · Aug 5, 2025Peer-reviewedBioinformatics

Effect of Shufeng Xingbi Therapy on Th1/Th2 immune balance and intestinal flora in rats with allergic rhinitis

Shuiping Yan, Jian Zheng, Lizhen Huang, Yimin Zhou, Si Ai, Xiaodi Xie, Lihong Chen, Xiangli Zhuang, Miao Yu

This study evaluates the effect of Shufeng Xingbi Therapy on Th1/Th2 immune balance and intestinal flora in allergic rhinitis rats, finding improvements in inflammation and immune markers.

bioRxiv · Mar 26, 2025 · PreprintImmunology

Reactomics: Using mass spectrometry as a chemical reaction detector

Miao Yu, Lauren M. Petrick

The paper introduces Reactomics, a method using mass spectrometry to directly retrieve biochemical relationships from untargeted metabolomics data without prior compound identification.

Communications Chemistry · Nov 6, 2020Peer-reviewedBioinformatics

Simulation-based comprehensive study of batch effects in metabolomics studies

Miao Yu, Anna Roszkowska, Janusz B. Pawliszyn

This study evaluates batch correction methods in metabolomics using simulated data, finding that log transformations impact performance and false positives increase with correction.

bioRxiv · Dec 16, 2019 · PreprintBioinformatics