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NORI: Fast probabilistic inference for ambiguous observation-entity mappings

2026/05/12 by Simon Van de Vyver, Tibo Vande Moortele, Ben-Björn Binke +3 · 1 voice
Biochemistry, Genetics and Molecular Biology · #q-bio.QM

paper · pdf

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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