Document Type

Article

Publication Date

11-2024

Identifier

DOI: 10.1093/bioadv/vbae155; PMCID: PMC11568348

Abstract

SUMMARY: Technologies that produce spatial single-cell (SC) data have revolutionized the study of tissue microstructures and promise to advance personalized treatment of cancer by revealing new insights about the tumor microenvironment. Functional data analysis (FDA) is an ideal analytic framework for connecting cell spatial relationships to patient outcomes, but can be challenging to implement. To address this need, we present mxfda, an R package for end-to-end analysis of SC spatial data using FDA. mxfda implements a suite of methods to facilitate spatial analysis of SC imaging data using FDA techniques.

AVAILABILITY AND IMPLEMENTATION: The mxfda R package is freely available at https://cran.r-project.org/package=mxfda and has detailed documentation, including four vignettes, available at http://juliawrobel.com/mxfda/.

Journal Title

Bioinform Adv

Volume

4

Issue

1

First Page

155

Last Page

155

Comments

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Publisher's Link: https://doi.org/10.1093/bioadv/vbae155

Download

Share

COinS