viRF specifications


Unique identifier OMICS_25380
Name viRF
Alternative name Variable Importance-weighted Random Forests
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data All the features as well as their importance scores into a second stage RF model.
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Maintained No


No version available


This tool is not available anymore.

Publication for Variable Importance-weighted Random Forests

viRF institution(s)
Department of Biostatistics, School of Public Health, Yale University, New Haven, CT, USA; Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
viRF funding source(s)
Supported in part by the National Institutes of Health grants R01 GM59507, P01 CA154295, and P50 CA196530.

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