C. Vanderaa

Most-cited papers

1. Initial recommendations for performing, benchmarking and reporting single-cell proteomics experiments

   L. Gatto, R. Aebersold, Jüergen Cox, Vadim Demichev +17 more

   2022Nature Methods163 citations Open access

   Semantic Scholar

   Save

2. Structural basis of latent TGF-β1 presentation and activation by GARP on human regulatory T cells

   S. Liénart, R. Merceron, C. Vanderaa, Fanny Lambert +8 more

   2018Science141 citations

   Semantic Scholar

   Save

3. Predicting and improving complex beer flavor through machine learning

   Michiel Schreurs, Supinya Piampongsant, Miguel Roncoroni, Lloyd Cool +9 more

   2024Nature Communications139 citations Open access

   Semantic Scholar

   Save

4. Replication of single-cell proteomics data reveals important computational challenges

   C. Vanderaa, L. Gatto

   2021bioRxiv48 citations Open access

   Semantic Scholar

   Save

5. Revisiting the Thorny Issue of Missing Values in Single-Cell Proteomics.

   C. Vanderaa, L. Gatto

   2023Journal of Proteome Research46 citations Open access

   Semantic Scholar

   Save

6. The Current State of Single‐Cell Proteomics Data Analysis

   C. Vanderaa, L. Gatto

   2022Current Protocols28 citations Open access

   Semantic Scholar

   Save

7. Therapeutic activity of GARP:TGF-β1 blockade in murine primary myelofibrosis

   S. Lecomte, Julien Devreux, G. de Streel, N. van Baren +10 more

   2022Blood25 citations Open access

   Semantic Scholar

   Save

8. scplainer: using linear models to understand mass spectrometry-based single-cell proteomics data

   C. Vanderaa, L. Gatto

   2024bioRxiv14 citations Open access

   Semantic Scholar

   Save

9. Curated single cell multimodal landmark datasets for R/Bioconductor

   Kelly B. Eckenrode, D. Righelli, Marcel Ramos, R. Argelaguet +8 more

   2021bioRxiv8 citations Open access

   Semantic Scholar

   Save

10. Standardized Workflow for Mass-Spectrometry-Based Single-Cell Proteomics Data Processing and Analysis Using the scp Package.

    Samuel Grégoire, C. Vanderaa, Sébastien Pyr Dit Ruys, Christopher Kune +3 more

    2024Methods in molecular biology7 citations

    Semantic Scholar

    Save

11. Utilizing scp for the analysis and replication of single-cell proteomics data

    C. Vanderaa, L. Gatto

    20217 citations

    Semantic Scholar

    Save

12. omicsGMF: a multi-tool for dimensionality reduction, batch correction and imputation applied to bulk- and single cell proteomics data

    Alexandre Segers, Cristian Castiglione, C. Vanderaa, Elfride de Baere +3 more

    2025bioRxiv6 citations Open access

    Semantic Scholar

    Save

13. Identification and implication of tissue-enriched ligands in epithelial–endothelial crosstalk during pancreas development

    M. Moulis, S. Runser, L. Glorieux, N. Dauguet +7 more

    2022Scientific Reports6 citations Open access

    Semantic Scholar

    Save

14. msqrob2TMT: Robust Linear Mixed Models for Inferring Differential Abundant Proteins in Labeled Experiments With Arbitrarily Complex Design

    Stijn Vandenbulcke, C. Vanderaa, O. Crook, L. Martens +1 more

    2024bioRxiv5 citations Open access

    Semantic Scholar

    Save

15. Standardised workflow for mass spectrometry-based single-cell proteomics data processing and analysis using the scp package

    Samuel Grégoire, C. Vanderaa, S. P. Ruys, G. Mazzucchelli +3 more

    20233 citations

    Semantic Scholar

    Save

16. Axon guidance genes control hepatic artery development.

    Lila Gannoun, Catalina De Schrevel, M. Belle, N. Dauguet +11 more

    2023Development3 citations Open access

    Semantic Scholar

    Save

17. A principled approach and standardised software for mass spectrometry-based single-cell proteomics data analysis

    C. Vanderaa

    20241 citations

    Semantic Scholar

    Save

18. Structure of GARP (LRRC32) in complex with latent TGF-beta1 and MHG-8 Fab

    R. Merceron, S. Liénart, C. Vanderaa, Didier Colau +7 more

    20181 citations

    Semantic Scholar

    Save

19. gamdid: generalized additive models for differential distributions in single cell experiments

    Lucas Beerland, Stijn Vandenbulcke, C. Vanderaa, L. Martens +1 more

    2026bioRxiv0 citations Open access

    Semantic Scholar

    Save

20. omicsGMF: a multi-tool for dimensionality reduction, batch correction and imputation in bulk- and single-cell proteomics

    Alexandre Segers, Cristian Castiglione, C. Vanderaa, Lennart Martens +2 more

    2026Nature Communications0 citations Open access

    Semantic Scholar

    Save

21. A standardized computational framework for the analysis of mass spectrometry-based single-cell proteomics data

    C. Vanderaa, L. Gatto

    20200 citations Open access

    Semantic Scholar

    Save