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RGBM (version 1.0-4)

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

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).

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Version

Install

install.packages('RGBM')

Monthly Downloads

729

Version

1.0-4

License

GPL (>= 3)

Maintainer

Raghvendra Mall

Last Published

February 21st, 2017

Functions in RGBM (1.0-4)

GBM

GBM.train

GBM.test

get_colids

apply_row_deviation

get_ko_experiments

consider_previous_information

first_GBM_step

add_names

get_filepaths

second_GBM_step

get_tf_indices

RGBM.test

RGBM.train

normalize_matrix_colwise

regulate_regulon_size

RGBM

regularized_GBM_step

null_model_refinement_step

select_ideal_k

transform_importance_to_weights

z_score_effect

v2l

test_regression_stump_R

train_regression_stump_R