This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see mdqc.
Bioconductor version: 3.9
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.
Author: Justin Harrington
Maintainer: Gabriela Cohen-Freue <gcohen at mrl.ubc.ca>
Citation (from within R,
enter citation("mdqc")
):
To install this package, start R (version "3.6") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("mdqc")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("mdqc")
R Script | Introduction to MDQC | |
Reference Manual |
biocViews | Microarray, QualityControl, Software |
Version | 1.46.0 |
In Bioconductor since | BioC 2.2 (R-2.7) (11.5 years) |
License | LGPL (>= 2) |
Depends | R (>= 2.2.1), cluster, MASS |
Imports | |
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Depends On Me | |
Imports Me | arrayMvout |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | mdqc_1.46.0.tar.gz |
Windows Binary | mdqc_1.46.0.zip |
Mac OS X 10.11 (El Capitan) | mdqc_1.46.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/mdqc |
Source Repository (Developer Access) | git clone [email protected]:packages/mdqc |
Package Short Url | https://bioconductor.org/packages/mdqc/ |
Package Downloads Report | Download Stats |
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