Author

Mingxuan Gao

University of TorontoORCID 0009-0005-0392-190XUnclaimed 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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Research Focus:benchmarking· 2 Assay:proteomics· 2 Approach:deep learning· 1 Approach:large language model· 1

Frequent Co-Authors

Hannes Luc RöstiD· 2 shared Jiaqing LiiD· 1 shared Jiayi LiiD· 1 shared Joshua CharkowiD· 1 shared Rongshan YuiD· 1 shared Shubham GuptaiD· 1 shared Wenxian YangiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 12 mutual co-author links

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2 shared papersBioinformatics

Hannes Luc RöstORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 20, 2026

ChatDIA: A zero-shot large language model workflow for targeted analysis of data-independent acquisition mass spectrometry data

Jiayi Li, Joshua Charkow, Mingxuan Gao…·Hannes Luc Röst

ChatDIA uses a zero-shot large language model to automate targeted DIA proteomics analysis with high accuracy and transparent rationales.

1 citation

proteomicslarge language model

𝕏 PostBluesky

BioinformaticsCommunications ChemistryPeer-reviewedNov 20, 2025

Scoring Information Integration with Statistical Quality Control Enhanced Cross-Run Analysis of Data-Independent Acquisition Proteomics Data

Mingxuan Gao, Shubham Gupta, Wenxian Yang…·Hannes Luc Röst

DreamDIAlignR improves DIA proteomics analysis by integrating cross-run peptide data with deep learning and FDR control, increasing detected quantitatively changing proteins by 25.6% on a benchmark dataset.

2 citations

proteomicsdeep learning

𝕏 PostBluesky