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vsn

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Implements a method for normalising microarray intensities, and works for single- and multiple-color arrays. vsn can also be used for data from other technologies, as long as they have similar format. The method uses a robust variant of the maximum-likelihood estimator for an additive-multiplicative error model and affine calibration. The model incorporates data calibration step (a.k.a. normalization), a model for the dependence of the variance on the mean intensity and a variance stabilizing data transformation.

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vsn classification

vsn specifications

Unique identifier:
OMICS_01977
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
Artistic License version 2.0
Stability:
Stable
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Maintained:
Yes

vsn distribution

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vsn support

Documentation

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.