gaarangoa/pbmf
Predictive Biomarker Modeling Framework (PBMF)
The Predictive Biomarker Modeling Framework (PBMF) helps cancer researchers and clinicians systematically identify potential biomarkers that predict a patient's response to a specific treatment. You input patient data, including treatment, outcome (time/event), and various biological features. The framework then outputs predictive biomarker scores and labels (e.g., "Biomarker Positive" or "Biomarker Negative"), indicating which patients are most likely to benefit from a given therapy. This tool is for scientists, oncologists, and pharmaceutical researchers working to personalize cancer treatments.
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Use this if you need to discover and validate biomarkers that predict differential patient response to cancer therapies, minimizing bias and maximizing treatment benefit.
Not ideal if you are looking for a general-purpose machine learning framework outside of the specific context of predictive biomarker discovery in cancer research.
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24
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7
Language
Jupyter Notebook
License
MIT
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Last pushed
Apr 21, 2025
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