Analyze gene expression datasets and generate statistical reports and visualizations.
- Load gene expression data from CSV
- Calculate summary statistics
- Identify highly expressed genes
- Identify lowly expressed genes
- Generate histograms
- Generate boxplots
- Export results to CSV
- Python
- Pandas
- NumPy
- Matplotlib
- Object-Oriented Programming
Gene-Expression-Analyzer/ ├── README.md ├── gene_expression_analyzer.py ├── Gene_Expression_Analysis.ipynb ├── sample_expression.csv ├── results/ ├── figures/ └── requirements.txt
| Gene | Expression |
|---|---|
| EGFR | 20.1 |
| MYC | 18.7 |
| PIK3CA | 16.8 |
- Differential expression analysis
- Volcano plots
- PCA visualization
- GEO dataset integration
- RNA-seq support

