Author

Andrea Argentini

Ghent UniversityORCID 0000-0002-9797-6362Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 4 Assay:proteomics· 4 Research Focus:software / tool· 3 Approach:statistical model· 3 Research Focus:database / resource· 2 Approach:experimental assay· 2 Organism:human· 2 Approach:benchmark study· 1

Frequent Co-Authors

Kris GevaertiD· 3 shared Esperanza FernándeziD· 2 shared An StaesiD· 1 shared Caleb EasterlyiD· 1 shared Chloé Van LeeneiD· 1 shared Eline SchillebeeckxiD· 1 shared Emin AraftpooriD· 1 shared Ignacio EguinoaiD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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3 shared papersBioinformatics

Kris GevaertORCID

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Author profile →

4 papers

Recent·Most cited

DiaReport: Reproducible Workflow for Differential Expression Analysis and Interactive Reporting in DIA-based Proteomics

Andrea Argentini, Esperanza Fernández, Jarne Pauwels, Kris Gevaert

DiaReport provides a reproducible workflow for differential expression analysis and interactive reporting in DIA-based proteomics, demonstrating its utility with an extracellular vesicle dataset.

Bioinformatics · Jun 22, 2026Peer-reviewedBioinformatics

Advancing DIA-based Limited Proteolysis Workflows: introducing DIA-LiPA

Chloé Van Leene, Emin Araftpoor, An Staes, Andrea Argentini, Marcel Bühler, Lieven Clement, Kris Gevaert

The paper evaluates library-free DIA workflows for LiP-MS and introduces DIA-LiPA, a pipeline that improves structural interpretation of limited proteolysis data.

Analytical Chemistry · Feb 14, 2026Peer-reviewedBioinformatics

Exhaled breath condensate proteomics using amphipols improves protein detection but reveals statistical challenges in respiratory disease biomarker discovery

Eline Schillebeeckx, Andrea Argentini, Jo Raskin, Jan P. van Meerbeeck, Kris Gevaert, Kevin Lamote, Esperanza Fernández

This study uses amphipols to improve protein detection in exhaled breath condensate but finds high variability and missing data hinder reliable biomarker discovery.

bioRxiv · Nov 21, 2025 · PreprintPathology

Precursor intensity-based label-free quantification software tools for proteomic and multi-omic analysis within the Galaxy Platform.

Subina Mehta, Caleb Easterly, Ray Sajulga, Robert J. Millikin, Andrea Argentini, Ignacio Eguinoa, Lennart Martens, Michael R. Shortreed, Lloyd M. Smith, Thomas F. McGowan, Praveen Kumar, James E. Johnson, Timothy J. Griffin, Pratik Dilip Jagtap

The paper evaluates and implements two label-free quantification tools in the Galaxy platform for proteomics and multi-omics analysis.

Proteomes · Jul 8, 2020Peer-reviewedBioinformatics