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Spatial analysis code for SPARC Hackathon

R 0.50% Python 0.08% Dockerfile 0.12% Jupyter Notebook 99.29% Makefile 0.01%

spat-an-app's Introduction

Spat-An-App!

This is a Spatial Anatomy Application that aims to project image data into a Spatial Projection space based on Point pattern analysis.

Requirements: R and Python

Goals: Quantify the spatial organization of cells

Point Pattern Analysis

  • Study of the spatial arrangements of points in 2-dimensional space
  • The null model for point patterns is complete spatial randomness modeled as a Poisson process in R^

The functions for point pattern analysis used in this app include: Ripley's K-function, and its normalized form, the L function. J-function comparing NN-distances and empty space distances.

The docker image with the code includes the R code and Python application for embedding in other applications.

spat-an-app's People

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