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-4.5-noble)MDimNormn_0.8.0.tar.gz(r-4.4-noble)
MDimNormn_0.8.0.tgz(r-4.4-emscripten)MDimNormn_0.8.0.tgz(r-4.3-emscripten)
MDimNormn.pdf |MDimNormn.html
MDimNormn/json (API)

# Install 'MDimNormn' in R:
install.packages('MDimNormn', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • sba - Artificially generated data alike that of Suspension bead arrays

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

1.00 score 2 scripts 105 downloads 1 exports 0 dependencies

Last updated 9 years agofrom:af6a53d59a. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linuxNOTEOct 31 2024

Exports:normn_MA

Dependencies: