RGBM specifications

Information


Unique identifier OMICS_18190
Name RGBM
Alternative name Regularized Gradient Boosting Machines
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0
Computer skills Advanced
Version 1.0
Stability Stable
Requirements Foreach, Plyr, DoParallel
Source code URL https://cran.r-project.org/src/contrib/RGBM_1.0-8.tar.gz
Maintained Yes

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Maintainer


  • person_outline Raghvendra Mall <>

Publication for Regularized Gradient Boosting Machines

RGBM institution(s)
QCRI, HBKU, Doha, Qatar; University of Sannio, Benevento, Italy; Bioinformatics Lab, BIOGEM Istituto di Ricerche Genetiche G. Salvatore, Campo Reale, Italy; Department of Neurosurgery, Brain Tumor Center, Henry Ford Health System, Detroit, MI, USA; University of Sao Paulo, Genetics Av. Bandeirantes, Sao Paulo, Brazil; Department of Neurology, Department of Pathology, Institute for Cancer Genetics, Columbia University Medical Center, New York, NY, USA

RGBM review

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Raghvendra Mall

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Desktop
The tool is state-of-the-art GRN inference tool and outperforms other tools like GENIE, iRafNet on DREAM3, DREAM4 and DREAM5 Challenge. Moreover, the tool is very helpful for real-world gene regulatory network inference and has been shown to identify potential new Master Regulators (Transcription Factors) in Glioblastoma Cancer.