About 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.
