DEGA: a Python package for differential gene expression analysis
Project description
DEGA: A Python Package for Differential Gene Expression Analysis
Differential gene expression analysis is an important tool for identifying genes that display a significantly altered expression in response to specific stimuli.
DEGA is a Python package for differential expression analysis. It is an implementation of the core algorithm of the R package DESeq2. Along with the differential testing algorithm, DEGA also provides high-level functions for dataset exploration and results interpretation (such as switch genes identification).
Installation
pip install DEGA
Quick Start
import DEGA
dega = DEGA.dataset(countsData, phenotypeData, designFormula="factor")
dega.analyse()
For a complete use case check the Jupyter Notebook
For a switch genes identification example check the Jupyter Notebook
Project details
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