K2Taxonomer

Multi-resolution characterization of molecular taxonomies in bulk and single-cell transcriptomics data. K2Taxonomer is an R package built around a "top-down" recursive partitioning framework to perform unsupervised learning of nested “taxonomy-like” subgroups from high-throughput -omics data. This framework was devised to be flexible to different data structures, enabling its applicability to analyze both bulk and single-cell data sets. In addition to implementing the algorithm, this package includes functionality to annotate estimated subgroups using gene- and pathway-level analyses.