MSclassifier classifies instances using median-supplement methods. It derives median-supplement data from a set of instances and then infer a Naive Bayes/Random Forest classifier. The resulting model predicts classes of new instances of samples.

The package can be installed via the R Console or the command line of a terminal.
1. Click here to download the MSclassifier package.

2. Extract the compressed downloaded file. In a linux terminal, this can be done with the line:

unzip *.zip

3. Set your working directory to the path that contains the uncompressed folder.
4. To install via the R console, start R and run the following commands:

library(devtools)   # Ensure devtools is installed in the R package

Alternative to step 4, the package can be installed via the command line of linux using:

R CMD INSTALL './MSclassifier'


Version: 1.0.0
Description: MSclassifier classifies instances of receptor status phenotypes using median-supplement methods. It is also applicable to supervised learning problems involving two labels.
Depends: R (>= 3.3.3)
Imports: e1071, randomForest (>= 4.6-12)
License: GPL-3
SystemRequirement: OS Independent

Packaged Archives

Manual/Documentation: Supplementary Information
Package: MSclassifier