SEAM Documentation

Contents:

• Installation
  • Standard Install (CPU)
  • GPU Support (Optional)
  • Getting Help
  • Dependencies
  • Development
  • Notes
• Tutorials
  • Overview
  • Available Tutorials
  • Additional Resources
• API Reference
  • Compiler
  • Attributer
  • Clusterer
  • MetaExplainer
  • Identifier
  • Utils

SEAM (Systematic Explanation of Attribution-based Mechanisms) is a Python suite for using meta-explanations to interpret sequence-based deep learning models for regulatory genomics data.

Quick Install

conda create --name seam python=3.9
conda activate seam
pip install seam-nn

For CPU and GPU installation instructions, Python version notes, and troubleshooting, see Installation.

Indices and tables

• Index

• Module Index

• Search Page