Package: mdqc 1.75.0

Gabriela Cohen-Freue

mdqc: Mahalanobis Distance Quality Control for microarrays

MDQC is a multivariate quality assessment method for microarrays based on quality control (QC) reports. The Mahalanobis distance of an array's quality attributes is used to measure the similarity of the quality of that array against the quality of the other arrays. Then, arrays with unusually high distances can be flagged as potentially low-quality.

Authors:Justin Harrington

mdqc_1.75.0.tar.gz
mdqc_1.75.0.zip(r-4.7)mdqc_1.75.0.zip(r-4.6)mdqc_1.75.0.zip(r-4.5)
mdqc_1.75.0.tgz(r-4.6-any)mdqc_1.75.0.tgz(r-4.5-any)
mdqc_1.75.0.tar.gz(r-4.7-any)mdqc_1.75.0.tar.gz(r-4.6-any)
mdqc_1.75.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mdqc/json (API)

# Install 'mdqc' in R:
install.packages('mdqc', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • allQC - QC report for MLL.B

On BioConductor:mdqc-1.75.0(bioc 3.24)mdqc-1.74.0(bioc 3.23)

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

microarrayqualitycontrol

3.78 score 1 packages 5 scripts 2 exports 2 dependencies

Last updated from:cad6b1922b. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR127
linux-devel-x86_64NOTE154
source / vignettesOK164
linux-release-x86_64NOTE194
macos-release-arm64NOTE66
macos-oldrel-arm64NOTE71
windows-develNOTE68
windows-releaseNOTE66
windows-oldrelNOTE68
wasm-releaseOK91

Exports:mdqcprcomp.robust

Dependencies:clusterMASS

Introduction to MDQC

Rendered frommdqcvignette.Rnwusingutils::Sweaveon Jun 21 2026.

Last update: 2013-11-01
Started: 2013-11-01