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javiermerinom / gene_expression_breast_cancer-classification-analysis

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This project explores breast cancer classification and survival analysis using RNA-seq data from The Cancer Genome Atlas (TCGA-BRCA). The workflow includes differential expression analysis (DEA), dimensionality reduction, and machine learning models for tumor vs. normal classification, cancer stage prediction, and patient survival analysis.

machine-learning eda pca deseq2 genes vst lda rna-seq-analysis tcga-data nca random-forest-classifier grid-search-hyperparameters shaft volcano-plot xgboost-classifier
  • Updated Sep 11, 2025
  • Jupyter Notebook

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