Author

Alexia Van de Loock

Ghent UniversityORCID 0000-0002-3471-1869Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

An StaesiD· 1 shared Atul S. DeshmukhiD· 1 shared Ben StocksiD· 1 shared Delphi Van HaveriD· 1 shared Eline LievensiD· 1 shared Freek Van de CasteeleiD· 1 shared Jimmy Van den EyndeniD· 1 shared Jo VandesompeleiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperPhysiology

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1 paper

Recent·Most cited

Deconvoluting fiber type proportions from human skeletal muscle transcriptomics and proteomics data using FibeRtypeR

Thibaux Van der Stede, Roger Moreno‐Justicia, Freek Van de Casteele, Eline Lievens, Alexia Van de Loock, Jonas Vandecauter, Peter Merseburger, Jimmy Van den Eynden, Delphi Van Haver, An Staes, Simon Devos, Morten Hostrup, Pieter Mestdagh, Jo Vandesompele, Ben Stocks, , Wim Derave

This paper introduces FibeRtypeR, a tool to estimate muscle fiber type proportions from bulk transcriptomics and proteomics data using single-fiber reference profiles.

bioRxiv · Sep 17, 2025 · PreprintPhysiology