mdqc
Mahalanobis Distance Quality Control for microarrays
Bioconductor version: 2.10
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("mdqc")
To cite this package in a publication, start R and enter:
citation("mdqc")
Documentation
| R Script | Introduction to MDQC | |
| Reference Manual |
Details
| biocViews | Microarray, QualityControl, Software |
| Depends | R (>= 2.2.1), cluster, MASS |
| Imports | |
| Suggests | |
| System Requirements | |
| License | LGPL (>= 2) |
| URL | |
| Depends On Me | |
| Imports Me | arrayMvout |
| Suggests Me | |
| Version | 1.18.0 |
| Since | Bioconductor 2.2 (R-2.7) |
Package Downloads
| Package Source | mdqc_1.18.0.tar.gz |
| Windows Binary | mdqc_1.18.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | mdqc_1.18.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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