This repository contains the bioinformatics analysis pipeline for investigating the expression landscape and prognostic value of SEC61G across 33 cancer types. The analysis integrates transcriptomic data from TCGA (The Cancer Genome Atlas) and single-cell RNA-seq data from the TISCH database.
- Data Preprocessing: Robust data cleaning pipeline for large-scale transcriptomic datasets.
- Single-Cell Validation: Visualization of SEC61G expression across different cell types using TISCH database (scRNA-seq).
- Automated Visualization: Custom R scripts for generating publication-quality Heatmaps and Boxplots with auto-adaptive layout logic.
scripts/: R scripts for data cleaning and visualization.03_plot_advanced_heatmap.R: Advanced heatmap generation with adaptive layout.
data/: Processed datasets (e.g., TISCH single-cell expression matrix).
- R (version 4.0+)
- Packages:
tidyverse,pheatmap,ggplot2,scales
- Clone the repository:
git clone [https://github.com/0609x/PanCancer_Analysis.git](https://github.com/0609x/PanCancer_Analysis.git)