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R/DWD | Distance-weighted discrimination for classification, visualization and batch adjustment

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Provides the implementation of distance weighted discrimination (DWD) using an interior point method for the solution of second order cone programming problems. DWD is related to, and has been shown to be superior to, the support vector machine in situations that are fundamental to bioinformatics, such as very high dimensional data. DWD has proven to be very useful for several fundamental bioinformatics tasks, including classification, data visualization and removal of biases, such as batch effects.

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R/DWD forum

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R/DWD classification

R/DWD specifications

Unique identifier:
OMICS_00858
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 2.0
Version:
0.11
Maintained:
Yes
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Stability:
Stable

R/DWD distribution

versioning

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No versioning.

R/DWD support

Maintainer

  • Hanwen Huang <>

Credits

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Publications

Institution(s)

Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

Funding source(s)

Grant number NIH/NCI R01 CA-149569

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