Welcome to disperseNN2 documentation!

disperseNN2 is a deep learning framework for the estimation of dispersal rate from population genetic data. See Smith et al (2023).

Check out the Usage section for further information, including how to Install the project. And check out the Vignette: example workflow section to see a complete application of disperseNN2.

Note

This project is under active development.

Contents

• Usage
  • Install
  • Workflow
    • 1. Preprocessing
    • 2. Training
    • 3. Validation
    • 4. Empirical prediction
  • Simulation
• Vignette: example workflow
  • 1. Simulation
  • 2. Preprocessing
  • 3. Training
  • 4. Validation
  • 5. Empirical application
  • 6. Google Colab notebook
• Development
• GPUs