Predictive
Oncology Model
and Data
Clearinghouse

Welcome to the
Predictive Oncology Model
and Data Clearinghouse (MoDaC)

The Predictive Oncology Model and Data Clearinghouse (MoDaC) is a data repository and model clearinghouse developed to transition resources to the broader research community. These resources consist of predictive oncology datasets and mathematical models (such as machine learning and deep learning models) developed within NCI and in collaborative programs, including the NCI-DOE Collaboration projects and the Accelerating Therapeutics for Opportunities in Medicine (ATOM) Consortium. Annotated datasets and models stored in the repository are publicly available and can be searched against their metadata and downloaded.