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R. Gabriels

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Open access Aug 2026

OmicsFM brings proteomics into the foundation model era

OmicsFM, a modality-agnostic transformer pretrained through masked abundance reconstruction on an unprecedented proteomics data corpus of 48,837 quality-filtered proteomics profiles from 1,397 reprocessed PRIDE projects, firmly establishes the possibility of training highly performant proteomics-based foundation models...

Sander Heyndrickx, R. Gabriels, Harikrishnan Ramadasan et al. · 1 citation

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