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-1.69.0(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

3.78 score 1 packages 4 scripts 430 downloads 2 exports 2 dependencies

Last updated 2 months agofrom:cdd5233960. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 29 2024
R-4.5-winNOTEDec 29 2024
R-4.5-linuxNOTEDec 29 2024
R-4.4-winNOTEDec 29 2024
R-4.4-macNOTEDec 29 2024
R-4.3-winNOTEDec 29 2024
R-4.3-macNOTEDec 29 2024

Exports:mdqcprcomp.robust

Dependencies:clusterMASS

Introduction to MDQC

Rendered frommdqcvignette.Rnwusingutils::Sweaveon Dec 29 2024.

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