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'))

Peer review:

Datasets:
  • allQC - QC report for MLL.B

On BioConductor:mdqc-1.67.0(bioc 3.20)mdqc-1.66.0(bioc 3.19)

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 4 scripts 346 downloads 2 exports 2 dependencies

Last updated 26 days agofrom:cdd5233960. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 30 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 30 2024
R-4.4-macNOTEOct 30 2024
R-4.3-winNOTEOct 30 2024
R-4.3-macNOTEOct 30 2024

Exports:mdqcprcomp.robust

Dependencies:clusterMASS

Introduction to MDQC

Rendered frommdqcvignette.Rnwusingutils::Sweaveon Oct 30 2024.

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