Clustering and Visualizing RNA-Seq Expression Data using Grade of Membership Models
Fits grade of membership models (GoM, also known as admixture models) to cluster RNA-seq gene expression count data, identifies characteristic genes driving cluster memberships, and provides a visual summary of the cluster memberships.