drisso/learn2count: Structure Learning for Count Data

Implements a general and flexible zero-inflated negative binomial model that can be used to infer a graph structure from multivariate zero-inflated data. The model accounts for a set of covariates in addition to the graph structure. Its natural application is to learn regularory networks in single-cell RNA-seq data.

install.packages("remotes")
remotes::install_github("drisso/learn2count")