Author

P. Neven

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

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Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

B. A. L. M. Deiman· 1 shared H.-J. Guchelaar· 1 shared I. Johansson· 1 shared J. J. Swen· 1 shared M. Ingelman-Sundberg· 1 shared M. J. Deenen· 1 shared M. van der Lee· 1 shared R. F. Baak-Pablo· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperPharmacology & Toxicology

B. A. L. M. Deiman

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1 paper

Recent·Most cited

A unifying model to predict variable drug response for personalised medicine

M. van der Lee, W. G. Allard, R. H. A. M. Vossen, R. F. Baak-Pablo, R. Menafra, B. A. L. M. Deiman, M. J. Deenen, P. Neven, I. Johansson, S. Gastaldello, M. Ingelman-Sundberg, H.-J. Guchelaar, J. J. Swen, S. Y. Anvar

The paper introduces a continuous scale model using full gene sequencing and neural networks to predict CYP2D6 enzyme activity, explaining 79% of interindividual variability in drug response.

bioRxiv · Mar 2, 2020Pharmacology & Toxicology