Mosna 0.1.0 Documentation

Mosna is a Python library designed for the analysis of spatial omics data in combination with clinical or biological metadata. It enables researchers to explore cellular interactions, tissue organization, and predictive biomarkers through an intuitive pipeline.

The scientific article describing Mosna can be found here: Mosna: Analysis of spatial omics data

Some insightful examples are provided in the GitHub repository: Mosna examples on GitHub

Additional explanation on how to implement Mosna can be found here: Implementation guide

Furthermore, some background on concepts such as assortativity, which mosna uses to quantify preferential interactions between cell types can be found here: Theoretical concepts

Note

This project is under active development.

Contents

• Mosna at a Glance
• Getting Started
  • Installation
• Theoretical Concepts
  • Assortativity
  • Delaunay Triangulation
  • References
• How to Guides
  • Imports and Setup
  • Generate and Visualize Spatial Networks
  • Data Transformation and Batch Correction
  • Comparing Response Groups - Composition
  • Comparing Response Groups - Assortativity
  • Implementing a Cox Proportional Hazards Model
  • References
• API
  • lumache