Source code and public data used for the project 'A machine learning framework for actionable genetic insights discovery: use in triple-negative breast cancer'.
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Updated
Feb 26, 2026 - Jupyter Notebook
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triple-negative-breast-cancer
Here are 2 public repositories matching this topic...
Single-cell transcriptomic profiling of TNBC tumor microenvironment using R (Seurat) to map immune heterogeneity and resistance drivers.
gene-expression scrna-seq transcriptomics r-programming immunotherapy seurat triple-negative-breast-cancer
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Updated
Jan 6, 2026
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