Author

A. van Rie

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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Microbiology· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:Bayesian inference· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

E. Riviere· 2 shared B. Cuypers· 1 shared C. Meehan· 1 shared D. Z. Anlay· 1 shared K. Laukens· 1 shared M. Safarpour· 1 shared P. H. T. Tu· 1 shared P. Meysman· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 21 mutual co-author links

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2 shared papersMicrobiology

E. Riviere

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Predicting MmpR-based bedaquiline resistance using sequence- and structure-based features

E. Riviere, M. Safarpour, P. Meysman, B. Cuypers, C. Meehan, K. Laukens, A. van Rie

This paper develops a machine learning model to predict bedaquiline resistance using sequence and structural features of Rv0678 variants, achieving moderate performance but not sufficient for clinical use.

bioRxiv · Dec 19, 2022 · PreprintMicrobiology

A Bayesian approach to estimate the probability of resistance to bedaquiline in the presence of a genomic variant

D. Z. Anlay, E. Riviere, P. H. T. Tu, S. Abrams, A. Van Rie

The paper uses Bayesian methods to estimate bedaquiline resistance probabilities based on genomic variants and expert opinions, finding varying probabilities across mutation types.

bioRxiv · Aug 30, 2022Microbiology