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  • NeuroMiner

News

  • NeuroMiner 1.4 (10/2025) — Release notes
  • Online Machine Learning School: For Precision Medicine 2025

Getting started

  • Introduction
    • License
  • Suggested Prerequisites
  • Installation & Configuration
    • Setting up NeuroMiner on macOS
    • Python integration in MATLAB

NeuroMiner interface

  • Main interface overview
  • Data entry in NeuroMiner
  • Define parameter template
    • Data Fusion
    • Cross-validation settings
    • Preprocessing pipeline
    • Classification algorithm
    • Learning algorithm parameters
    • Ensemble generation strategies
    • Visualization Options
    • Prediction interpretation options
    • Model saving options
    • Define verbosity level
    • Inspect workspace
    • Save parameter template
    • Load training template
    • Multi-group analyses
    • Stacking
    • Use different label
    • Synthetic data
  • Initialize analyses
  • Preprocess features
  • Train supervised classifiers
  • Visualize classifiers
  • Interprete predictions
  • Result Viewer
    • Visualization results
    • ML Interpreter (MLI) results
  • Out of Sample Cross-Validation
  • Export model parameters
  • Load NeuroMiner structure
  • Save NeuroMiner structure
  • Change working directory
  • Estimate sample size (simulation tool)
  • Utilities

Parallelization

  • Parallelization on HPC server - NeuroMiner compilation

Examples

  • NeuroMiner tutorial
  • Repository
  • Open issue
  • .md

Contents

Contents

By Section for Precision Psychiatry, Ludwig-Maximilian-University Munich / Precision Psychiatry Group, Max Planck Institute of Psychiatry

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