data_dili

<p>This data set gives the DILI endpoint of various compounds (Most or No DILI-concern)
  with QSAR descriptors generated by MOLD2</p>

datasets

Provides R-implementation of Decision forest algorithm, which combines the predictions of
multiple independent decision tree models for a consensus decision. In particular, Decision Forest is a novel
pattern-recognition method which can be used to analyze: (1) DNA microarray data;
(2) Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry  (SELDI-TOF-MS) data; and
(3) Structure-Activity Relation (SAR) data.
In this package, three fundamental functions are provided, as (1)DF_train, (2)DF_pred, and (3)DF_CV.
run Dforest() to see more instructions.
Weida Tong (2003) <doi:10.1021/ci020058s>.

Leihong Wu

Dforest

Decision Forest

data_dili function

<p>A List containing two vectors:
 X contains 958 observations and 777 variables.
 Y contains DILI endpoints of 958 observations</p>

data_dili: QSAR dataset with DILI endpoint for demo

Description

Usage

Arguments

Format

References