Package: mdqc 1.67.0

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.

bioconductor-package

2 exports 1.00 score 2 dependencies 1 dependents

Last updated 2 months agofrom:7ad63adbca

Exports:mdqcprcomp.robust

Dependencies:clusterMASS

Introduction to MDQC

Rendered frommdqcvignette.Rnwusingutils::Sweaveon Jun 24 2024.

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