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.

Getting started

Package details

Bioconductor views GeneExpression RNASeq Sequencing SingleCell Software Transcriptomics
Maintainer
LicenseArtistic-2.0
Version0.1.3
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("drisso/learn2count")
drisso/learn2count documentation built on Jan. 1, 2021, 12:06 a.m.