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.

AuthorAnne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>.
Date of publication2012-10-29 08:57:15
MaintainerAnne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>
LicenseGPL (>= 2)
Version1.0-5
http://cran.r-project.org/web/packages/MAclinical/index.html

View on CRAN

Files in this package

MAclinical
MAclinical/NAMESPACE
MAclinical/man
MAclinical/man/plsrf_xz.rd
MAclinical/man/plsrf_xz_pv.rd
MAclinical/man/plsrf_x.rd
MAclinical/man/generate.learningsets.rd
MAclinical/man/svm.rd
MAclinical/man/rf_z.rd
MAclinical/man/testclass.rd
MAclinical/man/logistic_z.rd
MAclinical/man/testclass_simul.rd
MAclinical/man/simulate.rd
MAclinical/man/plsrf_x_pv.rd
MAclinical/DESCRIPTION
MAclinical/MD5
MAclinical/R
MAclinical/R/generate.learningsets.r
MAclinical/R/logistic_z.r
MAclinical/R/plsrf_x.r
MAclinical/R/testclass.r
MAclinical/R/plsrf_x_pv.r
MAclinical/R/svm_x.r
MAclinical/R/plsrf_xz.r
MAclinical/R/testclass_simul.r
MAclinical/R/simulate.r
MAclinical/R/plsrf_xz_pv.r
MAclinical/R/rf_z.r

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.