RGBM: LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network Reconstruction

Provides an implementation of Regularized LS-TreeBoost & LAD-TreeBoost algorithm for Regulatory Network inference from any type of expression data (Microarray/RNA-seq etc). See Mall et al (2017) <doi:10.1101/132670>.

Version: 1.0-7
Depends: foreach, plyr, doParallel
Published: 2017-05-08
Author: Raghvendra Mall [aut, cre], Khalid Kunji [aut], Melissa O'Neill [ctb]
Maintainer: Raghvendra Mall <rmall at hbku.edu.qa>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: RGBM results

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Reference manual: RGBM.pdf
Package source: RGBM_1.0-7.tar.gz
Windows binaries: r-devel: RGBM_1.0-7.zip, r-release: RGBM_1.0-7.zip, r-oldrel: RGBM_1.0-7.zip
OS X El Capitan binaries: r-release: RGBM_1.0-7.tgz
OS X Mavericks binaries: r-oldrel: RGBM_1.0-7.tgz
Old sources: RGBM archive

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