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...