bioconductor-scdd
Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions
Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions
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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.
Summary
Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions
Last Updated
Dec 23, 2024 at 12:28
License
GPL-2
Total Downloads
25.2K
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