Welcome to MultiGATE’s documentation!

MultiGATE is a novel method that utilzes a two-level graph attention auto-encoder to integrate multi-modality and spatial information effectively. The GitHub repository can be found at GitHub.

Note

This project is under active development.

User Guide

• Installation
  • Detailed instructions

MultiGATE Tutorials

• Analyze Spatial ATAC–RNA-seq on Human Brain Hippocampal Formation Using MultiGATE
  • Preparation
  • Running MultiGATE
  • Clustering
  • Plotting the results
• Identify spatial domains on mouse spleen from Spatial Protein and Transcriptome Sequencing (SPOTS).
  • Preparation
  • Running MultiGATE
  • Plotting the results
• Analyze spatial ATAC–RNA-seq on Mouse Brain Using MultiGATE
  • Preparation
  • Running MultiGATE
  • Clustering
  • Visualize the results
• Gene-Peak Attention Score Analysis for Human Data
  • Analysis Overview
  • Table of Contents
  • 1. Data Loading and Setup
  • 2. Attention Score Processing
  • 3. Gene Annotation and Distance Calculation
  • 4. Threshold Analysis using Gaussian Mixture Model
  • 5. Distance Analysis and Visualization
  • 6. Results and Export