GoM models (also known as fuzzy clustering) allow subjects to have partial membership in multiple groups simultaneously, rather than being restricted to one cluster.
A specific extension, GoM DE, is applied in genomics to analyze single-cell RNA-seq and ATAC-seq data, helping interpret structural differences beyond discrete cell populations. Summary Table of GOM Definitions Focus Area Medical Granular Osmiophilic Material CADASIL pathology, electron microscopy Industrial Gulf of Mexico Oil/Gas drilling, marine engineering Data Science Grade of Membership Mixed-membership clustering, RNA-seq GoM models (also known as fuzzy clustering) allow
A highly reactive mercury species measured in environmental science. refers to Grade of Membership models
Other, less frequent uses of "GOM" in technical literature include: used for analyzing complex
In statistics and machine learning, refers to Grade of Membership models, used for analyzing complex, mixed-membership data.