Welcome to IMPROVE’s documentation!

Warning

v0.0.3-beta

This documentation is for a previous release of IMPROVE.

The IMPROVE project aims to standardize execution of supervised learning models to facilitate benchmarking and comparison of models. We have created a Python-based IMPROVE framework that encases community models and IMPROVE benchmarking schemes for model comparision. As a seminal case, we have curated community models and a benchmark dataset for single drug response prediction. Do you have a model you would like to easily compare to state-of-the-art models? Try IMPROVE!

Contents:

• What is the IMPROVE project?
  • Background
  • Future Directions
  • Acknowledgments
• Quickstart
• Benchmark Evaluation Schemes
  • Cross-Study Analysis
  • Learning Curve Analysis
• Drug Response Prediction
  • Problem Formulation
  • Benchmark Data
  • Models
• User Guide
  • Building Containers
  • CSA
• Model Contributor Guide
  • Tutorial

Access the code base https://github.com/JDACS4C-IMPROVE/