The edgePy library will become an implementation of edgeR for differential expression analysis in the Python language.
This library will have advantages over edgeR in that it will be well-tested and will run faster by utilizing Cythonized routines.
edgePy will maintain the functionality of edgeR in that it's primary goals are differential expression analysis of RNA-Seq expression profiles with biological replication.
The statistical methods for negative binomial distributions will include empirical Bayes estimations, exact tests, generalized linear models, and quasi-likelihood tests.
The edgePy library will be used for data import, normalization with respect to conditions, application of generalized linear models, and visualization.