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Gene Expression Analyzer

Project Goal

Analyze gene expression datasets and generate statistical reports and visualizations.

Features

  • 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

Technologies

  • Python
  • Pandas
  • NumPy
  • Matplotlib
  • Object-Oriented Programming

Project Structure

Gene-Expression-Analyzer/ ├── README.md ├── gene_expression_analyzer.py ├── Gene_Expression_Analysis.ipynb ├── sample_expression.csv ├── results/ ├── figures/ └── requirements.txt

Histogram

Histogram

Boxplot

Boxplot

Top Expressed Genes

Gene Expression
EGFR 20.1
MYC 18.7
PIK3CA 16.8

Future Improvements

  • Differential expression analysis
  • Volcano plots
  • PCA visualization
  • GEO dataset integration
  • RNA-seq support

About

Gene expression data analysis pipeline built with Python, Pandas, NumPy, and Matplotlib for statistical analysis and visualization of biological datasets.

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