train_regression_stump_R

<p>Train the regression stump for each target gene</p>

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>.

Raghvendra Mall

RGBM

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

Khalid Kunji

Melissa O'Neill

train_regression_stump_R function

<p>The format is:
List of 4
 $ name         : chr "train_regression_stump_R"
 $ address      :Class 'RegisteredNativeSymbol' &lt;externalptr&gt; 
 $ dll          :List of 5
  ..$ name         : chr "RGBM"
  ..$ path         : chr "/home/raghvendra/R/x86_64-pc-linux-gnu-library/3.3/RGBM/libs/RGBM.so"
  ..$ dynamicLookup: logi TRUE
  ..$ handle       :Class 'DLLHandle' &lt;externalptr&gt; 
  ..$ info         :Class 'DLLInfoReference' &lt;externalptr&gt; 
  ..- attr(*, "class")= chr "DLLInfo"
 $ numParameters: int 15
 - attr(*, "class")= chr [1:2] "CRoutine" "NativeSymbolInfo"</p>

train_regression_stump_R: Train the regression stump

Description

Arguments

Format