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MDQC | A quality assessment method for microarrays based on quality control reports

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A package which provides a multivariate approach to evaluate the quality of an array that examines the ‘Mahalanobis distance’ of its quality attributes from those of other arrays. MDQC flags problematic arrays based on the idea of outlier detection, i.e. it flags those arrays whose quality attributes jointly depart from those of the bulk of the data. Its advantage is that it has a clear statistical foundation, it uses the correlation structure of the various QC measures, it is easy to apply, and it is computationally lightweight. These properties make MDQC a useful diagnostic technique suitable for large datasets. MDQC performs a robust multivariate analysis of the quality measures provided in the QC report while taking into account their correlation structure.

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MDQC forum

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MDQC classification

MDQC specifications

Unique identifier:
OMICS_01987
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Maintained:
Yes
Name:
Mahalanobis Distance Quality Control
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 2.0
Stability:
Stable

MDQC distribution

versioning

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No versioning.

MDQC support

Documentation

Credits

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Publications

Institution(s)

Department of Computer Science, University of British Columbia, Vancouver, BC, Canada

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