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 + fileLICENSE |
| URL: | https://github.com/ColemanRHarris/mxnorm |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | mxnorm results |
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