Easy download and annotation extraction from public TCGA WSI datasets
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Updated
Aug 25, 2025 - Python
Easy download and annotation extraction from public TCGA WSI datasets
This repository contains cancer data analysis from TCGA
Statistical analysis of LUSC cancer gene expression data. Utilizes Hypothesis Testing (T-test) and Correlation Analysis to identify differentially expressed genes (DEGs) and co-expression patterns.
Find tumor gene mutation rates (TP53 and STAT5A) using cancer datasets from The Cancer Genome Atlas.
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