GitHub / aaronwtr / interpreting-ml-based-drops

This repository accompanies my research into the interpretability of DNA Damage Repair Outcome Predictors (DROPs). By analyzing these models using interpretability methods, we hope to uncover what features specifically are driving the accuracy of these prediction models.

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Topics: crispr-cas9, deep-learning, dna-repair-outcome-prediction, explainability, interpretability, machine-learning, shap

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