Author

Chloé Van Leene

Ghent UniversityORCID 0000-0003-4162-9115Unclaimed 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· 2 Research Focus:database / resource· 2 Assay:proteomics· 2 Research Focus:software / tool· 2 Approach:benchmark study· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:yeast· 1

Frequent Co-Authors

Emin AraftpooriD· 2 shared Kris GevaertiD· 2 shared An StaesiD· 1 shared Andrea ArgentiniiD· 1 shared Lieven ClementiD· 1 shared Marcel BühleriD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Emin AraftpoorORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 26, 2026

Experimental mismatch in benchmarking PELSA and LiP-MS

Chloé Van Leene, Emin Araftpoor, Kris Gevaert

The paper reanalyzes datasets comparing PELSA and LiP-MS, finding that reported differences arise from experimental mismatches and data imputation, cautioning against conclusions of quantitative superiority.

DOI 10.64898/2026.03.24.713688

proteomicsbenchmark study

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BioinformaticsAnalytical ChemistryPeer-reviewedFeb 14, 2026

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

Chloé Van Leene, Emin Araftpoor, An Staes…·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.

2 citations

humanyeast

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