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arXiv · 2605.11648

NORI: Fast probabilistic inference for ambiguous observation-entity mappings

Simon Van de Vyver·Tibo Vande Moortele·Ben-Björn Binke·Pieter Verschaffelt·Peter Dawyndt·Bart Mesuere
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Abstract

NORI performs probabilistic inference to resolve ambiguous mappings between experimental observations and biological entities orders of magnitude faster than state-of-the-art methods. This makes large-scale analysis and extensive hyperparameter optimization possible, and supports a broader range of bioinformatics applications, including protein inference, taxonomic and functional analysis in omics-fields.

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Simon Van de Vyver, Tibo Vande Moortele, Ben-Björn Binke, Pieter Verschaffelt, Peter Dawyndt, Bart Mesuere. 2026-05-12. NORI: Fast probabilistic inference for ambiguous observation-entity mappings. https://arxiv.org/abs/2605.11648

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