- ORCID iD
- 0000-0002-7668-2840
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- Journal Article
- A1
- open access
Hyperdimensional computing : a fast, robust, and interpretable paradigm for biological data
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- Journal Article
- A1
- open access
DepoScope : accurate phage depolymerase annotation and domain delineation using large language models
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- Journal Article
- A1
- open access
Prediction of Klebsiella phage-host specificity at the strain level
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Biology-based machine learning to predict phage-host specificity for the clinical phage therapist
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- Journal Article
- A1
- open access
CkP1 bacteriophage, a S16-like myovirus that recognizes Citrobacter koseri lipopolysaccharide through its long tail fibers
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Predicting and understanding phage-host interactions with machine learning tools based on phage receptor-binding proteins
(2023) -
- Journal Article
- A1
- open access
Foundation of the Belgian Society for Viruses of Microbes and meeting report of its inaugural symposium
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Launch of the Belgian Society for Viruses of Microbes
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- Conference Paper
- C3
- open access
Two novel approaches to identify phage receptor-binding protein sequences
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Machine learning to assist in large-scale, activity-based synthetic cannabinoid receptor agonist screening of serum samples