MAclinical: Class prediction based on microarray data and clinical parameters

'Maclinical' implements class prediction using both microarray data and clinical parameters. It addresses the question of the additional predictive value of microarray data. Class prediction is performed using a two-step method combining (pre-validated) PLS dimension reduction and random forests.

Getting started

Package details

AuthorAnne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>.
MaintainerAnne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>
LicenseGPL (>= 2)
Version1.0-5
URL http://cran.r-project.org/web/packages/MAclinical/index.html
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MAclinical")

Try the MAclinical package in your browser

Any scripts or data that you put into this service are public.

MAclinical documentation built on May 2, 2019, 9:30 a.m.