Liver Cancer RNA-seq Analysis

Description

This project analyzes TCGA liver cancer RNA-seq data to identify differentially expressed genes and visualize results using PCA, heatmap, volcano plot, and 3D PCA.

Folder Structure

• data/: Raw RNA-seq CSV file
• scripts/: Analysis and report scripts
• results/: Output figures, CSVs, and interactive 3D plot
• README.md: Project description
• .gitignore: Ignore unnecessary files

Key Results

• Top 20 differentially expressed genes saved in Top_20_Genes.csv
• PCA plots show sample separation
• Heatmap visualizes gene expression patterns
• Volcano plot highlights significant genes
• 3D PCA interactive plot in 3D_PCA.html

Usage

1. Run analysis.py to generate plots and Top 20 genes CSV.
2. Run create_report.py to create a 1-page PDF report summarizing the findings.

Built With

• html
• python