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snm | Supervised normalization of microarrays

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Provides a modeling strategy especially designed for normalizing high-throughput genomic data. The underlying premise of our approach is that the data is a function of what they refer to as study-specific variables. These variables are either biological variables that represent the target of the statistical analysis, or adjustment variables that represent factors arising from the experimental or biological setting the data is drawn from. The SNM approach aims to simultaneously model all study-specific variables in order to more accurately characterize the biological or clinical variables of interest.

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snm classification

snm specifications

Unique identifier:
OMICS_02036
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Maintained:
Yes
Name:
Supervised Normalization of Microarrays
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU Lesser General Public License version 3.0
Stability:
Stable

snm distribution

versioning

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No versioning.

snm support

Documentation

Credits

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Publications

Institution(s)

Department of Genome Sciences, University of Washington, Seattle, WA, USA

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