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: not available, r-oldrel: RGBM_1.0-9.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: RGBM archive

Linking:

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