Package: bHIVE 0.99.8

bHIVE: B-cell Hybrid Immune Variant Engine

bHIVE implements an artificial immune network (AI-Net) for clustering and classification of high-dimensional data such as mass cytometry and single-cell profiles. A population of prototypes, called antibodies, evolves by clonal selection, somatic hypermutation and network suppression, and the learned prototypes summarize cell populations in the original marker units. The same fitted model clusters a dataset and labels new cells. bHIVE accepts SummarizedExperiment and SingleCellExperiment objects and integrates with bluster through bHIVEParam. A C++ backend computes affinities, mutations and suppression, and optional R6 modules add mechanisms such as germinal center selection, microenvironment-dependent mutation and isotype switching. The package also provides multilayer clustering, grid search and caret model wrappers.

Authors:Nick Borcherding [aut, cre]