oposSOM

oposSOM is a bioinformatics tool developed to address the challenges of comprehensively analyzing genome-wide molecular data. It employs a self-organizing maps (SOM) machine learning approach, referred to as 'high-dimensional data portraying,' to provide intuitive visualization at single-sample resolution, facilitate biomarker selection, enable functional information mining, and achieve highly granular stratification of sample classes. The method has been successfully applied in various studies, primarily utilizing transcriptome data but extending to other OMIC realms.