Please Note: This repository is currently in the process of being refactored. Branches will be merged into master when refactoring is completed
Dynamic Differential Expression in Python
Python is great for data analysis, but lacks some of the bioninformatics tools available in R (Bioconductor). PyDiffExp not only makes differential expression analysis in Python easy, but it also allows users to conduct dynamic differential expresison analysis on time course data. diffexpy uses rpy2 to run limma analyis. All input and output is with python and pandas, while the differential expresison analysis object takes care of the model fitting in R.