scDD implements a method to analyze single-cell RNA-seq Data. Long Description (required)
scDD implements a method that analyzes single-cell RNA-seq Data by utilizing flexible Dirichlet Process mixture models. Genes with differential distributions of expression are classified into several interesting patterns of differences between two conditions. The software includes functions that simulate dats with patterns from negative binomial distributions. https://github.com/kdkorthauer/scDD kdkorthauer@gmail.com
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Summary of Proposed Changes Current Citations/Applications
[Pubmed ID: 27782827 ],
Korthauer KD, Chu LF, Newton MA, Li Y, Thomson J, Stewart R, Kendziorski C ,
A statistical approach for identifying differential distributions in single-cell RNA-seq experiments. ,
Genome Biol ,
10-25-2016 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=27782827, Primary Citation