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.
|Bioconductor views||GeneExpression RNASeq Sequencing SingleCell Software Transcriptomics|
|Package repository||View on GitHub|
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