Author

Timo Westerdijk

University Medical Center Utrecht

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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Genomics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Research Focus:variant calling· 1 Approach:variational autoencoder· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. Singleton· 1 shared Adriano ChiòiD· 1 shared Ahmad Al KhleifatiD· 1 shared Albert Christian LudolphiD· 1 shared Albert Hofman DiD· 1 shared Alexander SchönhuthiD· 1 shared Alfredo IacoangeliiD· 1 shared Allan F. McRaeiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

A. Singleton

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1 paper

Recent·Most cited

Computing Linkage Disequilibrium Aware Genome Embeddings using Autoencoders

Gizem Taş, Timo Westerdijk, Eric O. Postma, Wouter van Rheenen, Mark K. Bakker, Kristel R. van Eijk, Maarten Kooyman, Ahmad Al Khleifat, Alfredo Iacoangeli, Nicola Ticozzi, Johnathan Cooper‐Knock, Marta Gromicho, Siddharthan Chandran, Karen E. Morrison, Pamela J. Shaw, , Marleen Balvert

The paper introduces a method to compress genetic data using autoencoders that leverage linkage disequilibrium structure, achieving high reconstruction accuracy while reducing data size.

Bioinformatics · May 17, 2024Peer-reviewedGenomics