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A basic Python implementation of limma for differential expression analysis of gene expression data.
Features¶
- ✅ Complete Functionality - Provides the same core functionality as R's limma package
- ✅ Linear Model Fitting - Supports complex experimental design matrices
- ✅ Empirical Bayes Moderation - Improves statistical power for small sample data
- ✅ Multiple Group Comparisons - Supports complex contrast analysis
- ✅ Pythonic API - User-friendly interface designed for Python users
- ✅ High Performance Computing - Optimized implementation based on NumPy and SciPy
Installation¶
Usage Examples¶
5-Minute Getting Started Tutorial
API Reference¶
Use Cases¶
- Microarray Data Analysis
- RNA-seq Differential Expression Analysis
- Multiple Group Experimental Designs
- Time Series Expression Data
- Any expression data analysis requiring linear modeling