🧬 GeneScope

GeneScope is a Streamlit app for interactive gene expression visualization and exploratory analysis.

It supports:

• Uploading gene expression CSVs
• Standard visualization (boxplot & heatmap)
• PCA for large datasets with KMeans clustering
• Log2 transformation option
• Downloadable plots and clustering results

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🚀 Quick Start

1. Clone the repo:

git clone https://github.com/Kin-zala/GeneScope.git
cd GeneScope 

2. Install dependencies:

pip install -r requirements.txt

3. Run the app

streamlit run genescope_app.py

📂 Input Format

First column: Gene names

Remaining columns: Numeric expression values

Rows: Genes, Columns: Samples

Example CSV:

Gene	Sample_1	Sample_2	Sample_3
TP53	120	98	101
EGFR	300	287	310

🧪 Demo Dataset

Click "Load Demo Dataset" in the app to try a random dataset with 2000 genes × 50 samples.

⚡ Features

Top variable genes selection

Boxplot & heatmap visualization

PCA + KMeans clustering

Interactive Plotly charts

Downloadable plots (PNG) and tables (CSV)