mxnorm: Apply Normalization Methods to Multiplexed Images
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 
[aut, cre] |
| Maintainer: |
Coleman Harris <coleman.r.harris at vanderbilt.edu> |
| BugReports: |
https://github.com/ColemanRHarris/mxnorm/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/ColemanRHarris/mxnorm |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
mxnorm results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=mxnorm
to link to this page.