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This is a winning submission from the 2024 AI Data Readiness Challenge.
Explores the AI Data Readiness of CRDC data.
This asset contains the submission from Jennifer Blasé and team of Ruvos, the first place winner of the Tier 1: Single Modal Data Challenge. In this tier, participants must train an AI/ML model utilizing data from a single data class.
Use case: Tier 1 (Single modal data), Category 8 (Treatment)
General use case: Predict the efficacy of a single or combination therapy
Specific use case: Use gene expression data from Genomic Data Commons to predict treatment-response in patients with ovarian cancer
A data scientist can run the provided scripts after obtaining the appropriate data from the CGC.
The documentation, pre-processing, and model related files are available in Model and Data Clearinghouse (MoDaC). The data can be accessed via the Cancer Genomic Cloud (CGC).
Assessment of dataset readiness and model predictions.