Frequently Asked Questions

To run machine learning analyses in CMMI-DCC:

1. Navigate to ML Pipelines: Click "Analysis" then "ML Pipelines" in the top navigation

2. Create New Pipeline: Click "New ML Pipeline"

3. Select Data:

   • Choose your data types (Metabolomics, Proteomics, CBC, etc.)
   • Select specific studies or cohorts
   • Choose which features (columns) to include

4. Configure Analysis:

   • Select task type (Classification or Regression)
   • Choose target variable (what you want to predict)
   • Select algorithm (Random Forest, XGBoost, etc.)
   • Configure preprocessing options (scaling, feature selection, outlier detection)

5. Submit Job: Review your configuration and click "Submit". The analysis will run in the background

6. View Results: Once complete, you can view performance metrics, feature importance, and download results

Results include model performance metrics, visualizations, and the ability to export predictions.