Breast cancer intrinsic molecular subtyping with published classifiers, cohort-aware workflows, and a local Shiny app
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Updated
Oct 24, 2026 - R
#
molecular-subtyping
Here are 5 public repositories matching this topic...
Disease-agnostic pathway-level molecular subtyping with mandatory validation gates. (incl. confound testing) MIT · RRID:SCR_028051
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Aug 6, 2026 - Python
Evaluating AlphaMissense pathogenicity scores for PDAC diagnostics and molecular subtyping, using TCGA-PAAD and 1000 Genomes data
machine-learning bioinformatics genomics protein-structure tcga cancer-genomics missense-mutations oncology pancreatic-cancer variant-effect-prediction precision-oncology alphafold pdac alphamissense tcga-paad 1000-genomes molecular-subtyping
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Oct 9, 2026 - Jupyter Notebook
A pathway‑centric classification strategy for robust and platform‑independent molecular subtyping of head and neck squamous cell carcinoma
r-package shiny-applications precision-oncology head-and-neck-cancer bioinformatics-software molecular-subtyping
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Sep 9, 2026 - R
Explainable AI framework for breast cancer transcriptomics, biomarker discovery, molecular subtype classification, and patient-centric heterogeneity analysis.
machine-learning bioinformatics computational-biology gene-expression cancer-genomics transcriptomics pathway-analysis biomarker-discovery precision-medicine breast-cancer shap functional-enrichment explainable-ai-shap molecular-subtyping
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Updated
Oct 24, 2026 - Jupyter Notebook
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