Download and annotate TCGA RNA-seq counts from the GDC portal
Easy download and annotation extraction from public TCGA WSI datasets
Machine learning-based metastasis prediction in breast cancer using TCGA-BRCA miRNA and clinical datasets. Implements PCA, LDA, QDA, and GNB models for performance comparison.
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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