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).

Version:	1.0-9
Depends:	foreach, plyr, doParallel
Published:	2022-08-11
Author:	Raghvendra Mall [aut, cre], Khalid Kunji [aut], Melissa O'Neill [ctb]
Maintainer:	Raghvendra Mall <raghvendra5688 at gmail.com>
License:	GPL (≥ 3)
NeedsCompilation:	yes
CRAN checks:	RGBM results

Documentation:

Reference manual:

RGBM.pdf

Downloads:

Package source:	RGBM_1.0-9.tar.gz
Windows binaries:	r-devel: RGBM_1.0-9.zip, r-release: RGBM_1.0-9.zip, r-oldrel: RGBM_1.0-9.zip
macOS binaries:	r-release (arm64): RGBM_1.0-9.tgz, r-oldrel (arm64): RGBM_1.0-9.tgz, r-release (x86_64): RGBM_1.0-9.tgz, r-oldrel (x86_64): RGBM_1.0-9.tgz
Old sources:	RGBM archive

Linking:

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