Manuscript companion
Framework for Explainable Predictive Oncology and Target Prioritization
POWERUP integrates molecular profiles with functional screening data to generate sample-level predictions, explain the features underlying those predictions, prioritize therapeutic hypotheses, and incorporate experimental observations.
From molecular profiles to prioritized hypotheses
Predict
Generate sample-specific response predictions.
Explain
Identify features and paths underlying each prediction.
Prioritize
Rank therapeutic hypotheses for experimental testing.
Update
Integrate experimental observations with model predictions.
Resources accompanying the manuscript:
Public analyses will be available here for manuscript readers to explore results shared in the paper.
Explore rare-cancer dependency predictions generated using POWERUP in an interactive virtual screening resource.
Explore dependency mapAccess the POWERUP analysis portal for collaborative projects and full data workflows.
Open data portalInstallation, tutorials, function reference, and interpretation guidance for the R package.
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