Author

Jelmer M. Wolterink

University of TwenteORCID 0000-0001-5505-475XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1

Frequent Co-Authors

Kak Khee YeungiD· 1 shared Max L. SendersiD· 1 shared Venkat Siva Radha Krishna AyyalasomayajulaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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Kak Khee YeungORCID

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1 paper

Recent·Most cited

Systems BiologybioRxivPreprintMay 13, 2026

Uncertainty-aware graph representation learning with positive-unlabeled classification for biomarker discovery in peripheral artery disease

Venkat Siva Radha Krishna Ayyalasomayajula, Max L. Senders, Jelmer M. Wolterink, Kak Khee Yeung

This paper develops an uncertainty-aware framework for PAD biomarker discovery using graph neural networks and positive-unlabeled learning, identifying novel and validated candidate proteins.

DOI 10.64898/2026.05.08.723757

humanprotein sequence

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