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RGBM  

LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network Reconstruction
View on CRAN: Click here


Download and install RGBM package within the R console
Install from CRAN:
install.packages("RGBM")

Install from Github:
library("remotes")
install_github("cran/RGBM")

Install by package version:
library("remotes")
install_version("RGBM", "1.0-11")



Attach the package and use:
library("RGBM")
Maintained by
Raghvendra Mall
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-21
Latest Update: 2023-04-14
Description:
Provides an implementation of Regularized LS-TreeBoost & LAD-TreeBoost algorithm for Regulatory Network inference from any type of expression data (Microarray/RNA-seq etc).
How to cite:
Raghvendra Mall (2017). RGBM: LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network Reconstruction. R package version 1.0-11, https://cran.r-project.org/web/packages/RGBM. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0-4 (2017-02-21 08:43), 1.0-5 (2017-04-01 08:53), 1.0-6 (2017-04-01 09:59), 1.0-7 (2017-05-08 13:59), 1.0-8 (2018-01-09 14:01), 1.0-9 (2022-08-11 12:40), 1.0-10 (2022-09-26 09:10)
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Complete documentation for RGBM
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