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Model & Software
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Project:
IMPROVE
Description:
This is a community model for drug response prediction curated as part of the IMPROVE project.
DESCRIPTION:
This is a community model for drug response prediction curated as part of the IMPROVE project.
IMPACT: Enables prediction of drug response with drug and cancer features.
INPUT DATA TYPE: Mutation, Copy Number Variation, Drug SMILES
INPUT DATA FORMAT: Tabular
LEVEL OF DOCUMENTATION: Moderate
AVAILABLE ON GITHUB
Project:
IMPROVE
Description:
This is a community model for drug response prediction curated as part of the IMPROVE project.
DESCRIPTION:
This is a community model for drug response prediction curated as part of the IMPROVE project.
IMPACT: Enables prediction of drug response with drug and cancer features.
INPUT DATA TYPE: Gene Expression, Drug Molecular Descriptors
INPUT DATA FORMAT: Tabular
LEVEL OF DOCUMENTATION: Moderate
AVAILABLE ON GITHUB
Project:
Cellular-Level Pilot
Description:
Shows how to train and use a neural network model to predict tumor dose response across multiple data sources.
DESCRIPTION:
Shows how to train and use a neural network model to predict tumor dose response across multiple data sources.
IMPACT: Enables drug discovery, drug response prediction from cell lines.
INPUT DATA TYPE: Drug Molecular Descriptors, Gene Expression
INPUT DATA FORMAT: Tabular
LEVEL OF DOCUMENTATION: Minimal
AVAILABLE ON GITHUB
