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spatialTIME

Spatial Analysis of Vectra Immunoflourescent Data

Functions for visualizing and analyzing Vectra Immunofluorescent data. Options for calculating both the univariate and bivariate Ripley's K are included. Calculations are performed using a permutation-based approach. The permutation framework was proposed in Wilson et. al (2021) <DOI:10.1101/2021.04.27.21256104>.

Functions (8)

bi_ripleys_k

Calculate Bivariate Ripley's K function for IF data

Create Multiplex Immunoflourescent object

example_clinical

Clinical variables of 229 patients

example_spatial

Example list of spatial TMA data

example_summary

Marker summaries of 229 samples

pipe

Pipe operator

plot_immunoflo

Generate plot of TMA point process

Calculate Univariate Ripley's K function for IF data

spatialTIME

Spatial Analysis of Vectra Immunoflourescent Data

v1.0.0

MIT + file LICENSE

Authors

Jordan Creed [aut], Ram Thapa [aut], Christopher Wilson [aut], Brooke Fridley [cph], Fridley Lab [cre]

Initial release

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