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bioc
scDD:Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions
This package implements a method to analyze single-cell RNA- seq Data utilizing flexible Dirichlet Process mixture models. Genes with differential distributions of expression are classified into several interesting patterns of differences between two conditions. The package also includes functions for simulating data with these patterns from negative binomial distributions.
Maintained by Keegan Korthauer. Last updated 5 months ago.
immunooncologybayesianclusteringrnaseqsinglecellmultiplecomparisonvisualizationdifferentialexpression
33 stars 7.92 score 50 scripts