Package: mdqc 1.69.0

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

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mdqc.pdf |mdqc.html✨
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-1.69.0(bioc 3.21)mdqc-1.68.0(bioc 3.20)

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

microarrayqualitycontrol

3.30 score 4 scripts 480 downloads 2 exports 2 dependencies

Last updated 5 months agofrom:cdd5233960. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 29 2025
R-4.5-winNOTEMar 29 2025
R-4.5-macNOTEMar 29 2025
R-4.5-linuxNOTEMar 29 2025
R-4.4-winNOTEMar 29 2025
R-4.4-macNOTEMar 29 2025
R-4.4-linuxNOTEMar 29 2025
R-4.3-winNOTEMar 29 2025
R-4.3-macNOTEMar 29 2025

Exports:mdqcprcomp.robust

Dependencies:clusterMASS

Introduction to MDQC

Rendered frommdqcvignette.Rnwusingutils::Sweaveon Mar 29 2025.

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