spatialTIME1.3.4-5 package

Spatial Analysis of Vectra Immunoflourescent Data

bi_NN_G

Bivariate Nearest Neighbor G(r)

bi_pair_correlation

Bivariate Pair Correlation Function

bi_ripleys_k

Bivariate Ripley's K

bi_ripleys_k_WSI

Bivariate Ripley's K for Whole Slide Images

compute_metrics

Calculate Count Based Measures and NN Measures of Spatial Clustering f...

create_mif

Create Multiplex Immunoflourescent object

dixons_s

Dixon's S Segregation Statistic

interaction_variable

Bivariate Interaction Variable

merge_mifs

Merge several MIF objects together

NN_G

Univariate Nearest Neighbor G(r)

pair_correlation

Univariate Pair Correlation Function

pipe

Pipe operator

plot_immunoflo

Generate plot of TMA point process

ripleys_k

Calculate Ripley's K

subset_mif

Subset mif object on cellular level

Download source packageRead PDF manual

Visualization and analysis of Vectra Immunoflourescent data. Options for calculating both the univariate and bivariate Ripley's K are included. Calculations are performed using a permutation-based approach presented by Wilson et al. <doi:10.1101/2021.04.27.21256104>.

  • Maintainer: Fridley Lab
  • License: MIT + file LICENSE
  • Last published: 2024-06-04

Useful links