Stefan Naulaerts
Stefan Naulaerts
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A primer to frequent itemset mining for bioinformatics
S Naulaerts, P Meysman, W Bittremieux, TN Vu, W Vanden Berghe, ...
Briefings in bioinformatics 16 (2), 216-231, 2015
Predicting synergism of cancer drug combinations using NCI-ALMANAC data
P Sidorov, S Naulaerts, J Ariey-Bonnet, E Pasquier, PJ Ballester
Frontiers in chemistry 7, 509, 2019
Predicting the Reliability of Drug-target Interaction Predictions with Maximum Coverage of Target Space
A Peón, S Naulaerts, PJ Ballester
Scientific Reports 7, 3820, 2017
Withaferin A induces heme oxygenase (HO-1) expression in endothelial cells via activation of the Keap1/Nrf2 pathway
K Heyninck, L Sabbe, CS Chirumamilla, KS vel Szic, P Vander Veken, ...
Biochemical pharmacology 109, 48-61, 2016
Bioinformatics approaches for the functional interpretation of protein lists: from ontology term enrichment to network analysis
K Laukens, S Naulaerts, WV Berghe
Proteomics 15 (5-6), 981-996, 2015
Trial watch: Dendritic cell (DC)-based immunotherapy for cancer
RS Laureano, J Sprooten, I Vanmeerbeerk, DM Borras, J Govaerts, ...
Oncoimmunology 11 (1), 2096363, 2022
Ectopic microRNA-150-5p transcription sensitizes glucocorticoid therapy response in MM1S multiple myeloma cells but fails to overcome hormone therapy resistance in MM1R cells
A Palagani, K Op de Beeck, S Naulaerts, J Diddens, ...
PLoS One 9 (12), e113842, 2014
Mining association rules in graphs based on frequent cohesive itemsets
T Hendrickx, B Cule, P Meysman, S Naulaerts, K Laukens, B Goethals
Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015
Osmotic stress inhibits leaf growth of Arabidopsis thaliana by enhancing ARF‐mediated auxin responses
S Kalve, BL Sizani, MN Markakis, C Helsmoortel, G Vandeweyer, ...
new phytologist 226 (6), 1766-1780, 2020
Precision and recall oncology: combining multiple gene mutations for improved identification of drug-sensitive tumours
S Naulaerts, CC Dang, PJ Ballester
Oncotarget 8 (57), 97025, 2017
Varicella-zoster virus-derived major histocompatibility complex class I-restricted peptide affinity is a determining factor in the HLA risk profile for the development of …
P Meysman, B Ogunjimi, S Naulaerts, P Beutels, V Van Tendeloo, ...
Journal of virology 89 (2), 962-969, 2015
Predicting cancer drug response in vivo by learning an optimal feature selection of tumour molecular profiles
LC Nguyen, S Naulaerts, A Bruna, G Ghislat, PJ Ballester
Biomedicines 9 (10), 1319, 2021
Multiomics and spatial mapping characterizes human CD8+ T cell states in cancer
S Naulaerts, A Datsi, DM Borras, A Antoranz Martinez, J Messiaen, ...
Science Translational Medicine 15 (691), eadd1016, 2023
Concise polygenic models for cancer-specific identification of drug-sensitive tumors from their multi-omics profiles
S Naulaerts, MP Menden, PJ Ballester
Biomolecules 10 (6), 963, 2020
The interface of tumour-associated macrophages with dying cancer cells in immuno-oncology
I Vanmeerbeek, J Govaerts, RS Laureano, J Sprooten, S Naulaerts, ...
Cells 11 (23), 3890, 2022
Machine learning models to predict in vivo drug response via optimal dimensionality reduction of tumour molecular profiles
L Nguyen, S Naulaerts, A Bomane, A Bruna, G Ghislat, PJ Ballester
bioRxiv, 277772, 2018
Trial watch: chemotherapy-induced immunogenic cell death in oncology
J Sprooten, RS Laureano, I Vanmeerbeek, J Govaerts, S Naulaerts, ...
Oncoimmunology 12 (1), 2219591, 2023
Tumour immune rejection triggered by activation of α2-adrenergic receptors
J Zhu, S Naulaerts, L Boudhan, M Martin, L Gatto, BJ Van den Eynde
Nature, 1-9, 2023
Immunogenomic, single-cell and spatial dissection of CD8+T cell exhaustion reveals critical determinants of cancer immunotherapy
S Naulaerts, DM Borras, AA Martinez, J Messiaen, Y Van Herck, L Gelens, ...
BioRxiv, 2021.11. 22.468617, 2021
Op de Beeck K, Laukens K, Van Camp G, Weseler AR, Bast A, Haenen GR, Haegeman G, Vanden Berghe W (2016) Withaferin A induces heme oxygenase (HO-1) expression in endothelial …
K Heyninck, L Sabbe, CS Chirumamilla, K Szarc Vel Szic, ...
Biochem Pharmacol 109, 48-61, 0
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