Author

Diane Duroux

University of LiègeORCID 0000-0002-8564-3157Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:clustering· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

Kristel Van SteeniD· 3 shared Adrian EgliiD· 1 shared Bertram Müller‐MyhsokiD· 1 shared Chloé‐Agathe AzencottiD· 1 shared Federico MelogranaiD· 1 shared Hanne HoskensiD· 1 shared Héctor Climente-GonzáleziD· 1 shared Janko SattleriD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersBioinformatics

Kristel Van SteenORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Early antifungal resistance prediction based on MALDI-TOF mass spectrometry and machine learning

Diane Duroux, Yiqi Yang, Janko Sattler, Michael O. Krauthammer, Adrian Egli

The paper develops a machine learning pipeline using MALDI-TOF mass spectrometry data to predict antifungal resistance and identify biomarkers, achieving high performance across multiple yeast species and drug combinations.

Scientific Reports · Jun 2, 2026Peer-reviewedBioinformatics

netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity

Zuqi Li, Federico Melograna, Hanne Hoskens, Diane Duroux, Mary L. Marazita, Susan Walsh, Seth Michael Weinberg, Mark D. Shriver, Bertram Müller‐Myhsok, Peter D. Claes, Kristel Van Steen

netMUG identifies actionable subgroups using network-guided multi-view clustering, showing improved performance over existing methods in synthetic and real data.

Frontiers in Genetics · Dec 6, 2023Peer-reviewedBioinformatics

netANOVA: novel graph clustering technique with significance assessment via hierarchical ANOVA

Diane Duroux, Kristel Van Steen

netANOVA identifies groups of graphs through hierarchical ANOVA-based clustering and significance testing, showing high performance in simulations and real data.

Briefings in Bioinformatics · Jan 12, 2023Peer-reviewedBioinformatics

Interpretable network-guided epistasis detection

Diane Duroux, Héctor Climente-González, Chloé‐Agathe Azencott, Kristel Van Steen

The paper develops a network-guided method for detecting gene-level epistasis in GWAS data, showing it can identify disease-relevant interactions while controlling type I error.

GigaScience · Jan 1, 2022Peer-reviewedGenetics