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IMPROVE Framework

The Innovative Methodologies and New Data for Predictive Oncology Model Evaluation (IMPROVE) project was created under the Cancer Moonshot℠ as part of the NCI-DOE Collaboration to help address the need in the AI modeling community for a robust, reproducible, fair, and transparent way to compare AI models at scale. IMPROVE is intended to help address challenges in data-driven modeling for predicting cancer drug response by establishing consistent methodologies for model comparison and evaluation, and by enhancing machine learning models through novel data integration. IMPROVE also generates new data to reduce bias and improve performance based on the deficiencies seen in the current AI models we are testing. These data will be available to the public to improve future drug response models.

You can take a look at our documentation for more information about the project and examples of applying the framework.

Current release:

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  1. docs docs Public

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  2. Singularity Singularity Public

    Singularity definitions that can be extended to support execution of community models.

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  3. GraphDRP GraphDRP Public

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  4. Paccmann_MCA Paccmann_MCA Public

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  6. HPO HPO Public

    Setup and configs for HPO runs

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Repositories

Showing 10 of 59 repositories
  • IMPROVE Public

    Libraries and scripts for basic IMPROVE functionalities

    JDACS4C-IMPROVE/IMPROVE’s past year of commit activity
    Python 1 MIT 3 26 (1 issue needs help) 3 Updated Dec 23, 2024
  • docs Public
    JDACS4C-IMPROVE/docs’s past year of commit activity
    Python 3 MIT 3 5 0 Updated Dec 20, 2024
  • Scratch Public
    JDACS4C-IMPROVE/Scratch’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Dec 20, 2024
  • mae_poly_loss Public

    MAE polynomial loss functions

    JDACS4C-IMPROVE/mae_poly_loss’s past year of commit activity
    Python 0 0 0 0 Updated Dec 20, 2024
  • UNO Public

    Standalone UNO repo for the IMPROVE project

    JDACS4C-IMPROVE/UNO’s past year of commit activity
    Python 0 1 2 2 Updated Dec 13, 2024
  • DeepCDR Public Forked from kimmo1019/DeepCDR

    Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network

    JDACS4C-IMPROVE/DeepCDR’s past year of commit activity
    Python 0 MIT 26 5 0 Updated Dec 10, 2024
  • PathDSP Public Forked from TangYiChing/PathDSP

    Explainable Drug Sensitivity Prediction through Cancer Pathway Enrichment Scores

    JDACS4C-IMPROVE/PathDSP’s past year of commit activity
    Python 0 MIT 10 1 0 Updated Dec 9, 2024
  • GraphDRP Public Forked from hauldhut/GraphDRP
    JDACS4C-IMPROVE/GraphDRP’s past year of commit activity
    Jupyter Notebook 1 Apache-2.0 20 3 0 Updated Nov 20, 2024
  • tCNNS-Project Public Forked from Lowpassfilter/tCNNS-Project

    twin CNN channels on drugs and cancer cell lines

    JDACS4C-IMPROVE/tCNNS-Project’s past year of commit activity
    Python 0 9 2 0 Updated Nov 15, 2024
  • HiDRA Public Forked from GIST-CSBL/HiDRA

    HiDRA

    JDACS4C-IMPROVE/HiDRA’s past year of commit activity
    Python 0 GPL-3.0 4 1 1 Updated Nov 13, 2024

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