mxFDA

R package for functional data analysis (FDA) of spatial summary functions, with a focus on biological data from multiplex immunofluorescence or spatially resolved transcriptomics.

Source Code

Tutorials

Features in mxFDA

mxFDA Object

Custom S4 object to store spatial, meta data, functional principal components, and functional models

Derive Summary Functions

Ripley’s K and Nearest Neighbor G

Functional Models

Associate full spatial summary functions with meta data features to understand biology

Function Principal Components

Understand function shapes that contribute most to variation between samples

For more details about mxFDA and how it can be used to enhance your spatial data analyses, see our GitHub page for source code and JuliaWrobel.com/mxfda for tutorials and reference documentation.