Package: MDimNormn 0.8.0

Mun-Gwan Hong

MDimNormn: Multi-Dimensional MA Normalization for Plate Effect

Normalize data to minimize the difference between sample plates (batch effects). For given data in a matrix and grouping variable (or plate), the function 'normn_MA' normalizes the data on MA coordinates. More details are in the citation. The primary method is 'Multi-MA'. Other fitting functions on MA coordinates can also be employed e.g. loess.

Authors:Mun-Gwan Hong

MDimNormn_0.8.0.tar.gz
MDimNormn_0.8.0.tar.gz(r-4.7-any)MDimNormn_0.8.0.tar.gz(r-4.6-any)
MDimNormn_0.8.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
MDimNormn/json (API)

# Install 'MDimNormn' in R:
install.packages('MDimNormn', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • sba - Artificially generated data alike that of Suspension bead arrays

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 3 scripts 151 downloads 1 exports 0 dependencies

Last updated from:af6a53d59a. Checks:2 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE83
source / vignettesOK160
linux-release-x86_64NOTE95
wasm-releaseOK98

Exports:normn_MA

Dependencies: