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mxnorm: Apply Normalization Methods to Multiplexed Images (original) (raw)

Implements methods to normalize multiplexed imaging data, including statistical metrics and visualizations to quantify technical variation in this data type. Reference for methods listed here: Harris, C., Wrobel, J., & Vandekar, S. (2022). mxnorm: An R Package to Normalize Multiplexed Imaging Data. Journal of Open Source Software, 7(71), 4180, <doi:10.21105/joss.04180>.

Version: 1.1.0
Depends: R (≥ 3.5.0)
Imports: magrittr, dplyr, rlang, fda, stats, data.table, reticulate, caret, ggplot2, tidyr, uwot, lme4, stringr, KernSmooth, kSamples, psych, fossil, methods
Suggests: knitr, janitor (≥ 2.1.0), testthat (≥ 3.0.0), rmarkdown, markdown, covr
Published: 2025-09-08
DOI: 10.32614/CRAN.package.mxnorm
Author: Coleman Harris ORCID iD [aut, cre]
Maintainer: Coleman Harris <coleman.r.harris at vanderbilt.edu>
BugReports: https://github.com/ColemanRHarris/mxnorm/issues
License: MIT + file
URL: https://github.com/ColemanRHarris/mxnorm
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: mxnorm results

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