Author

W. Bittremieux

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 1 Immunology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:ecology & biodiversity· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

K. Laukens· 2 shared A. A. Aksenov· 1 shared A. D. Brejnrod· 1 shared A. Gonzalez· 1 shared A. Mrzic· 1 shared A. P. Carrieri· 1 shared A. Shade· 1 shared A. Suls· 1 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersPharmacology & Toxicology

K. Laukens

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Author profile →

3 papers

Recent·Most cited

Benchmarking of Small Molecule Feature Representations for hERG, Nav1.5, and Cav1.2 Cardiotoxicity Prediction

I. Arab, K. Egghe, K. Laukens, K. Chen, K. Barakat, W. Bittremieux

This paper benchmarks small molecule feature representations for predicting cardiotoxicity against hERG, Nav1.5, and Cav1.2 channels using a new dataset and tool.

bioRxiv · Aug 15, 2023Pharmacology & Toxicology

Multi-omics profiling of Earth's biomes reveals patterns of diversity and co-occurrence in microbial and metabolite composition across environments

J. P. Shaffer, L.-F. Nothias, L. R. Thompson, S. G. Jon, R. A. Salido, S. P. Couvillion, A. D. Brejnrod, S. Huang, F. Lejzerowicz, N. Haiminen, H. L. Lutz, Q. Zhu, C. Martino, J. T. Morton, S. Karthikeyan, , St

The paper performs a multi-omics meta-analysis of microbial and metabolite data from diverse environments, revealing patterns of diversity and co-occurrence across biomes.

bioRxiv · Jun 4, 2021Ecology

On the feasibility of mining CD8+ T-cell receptor patterns underlying immunogenic peptide recognition.

N. De Neuter, W. Bittremieux, C. Beirnaert, B. Cuypers, A. Mrzic, P. Moris, A. Suls, V. Van Tendeloo, B. Ogunjimi, K. Laukens, P. Meysman

The paper develops a random forest classifier to predict T-cell receptor recognition of peptides and identifies structural CDR3 features associated with immunogenicity.

bioRxiv · Mar 20, 2017Immunology