Last data update: 2014.03.03

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MAclinical : Class prediction based on microarray data and clinical parameters

Package: MAclinical
Version: 1.0-5
Date: 2010-05-11
Title: Class prediction based on microarray data and clinical
parameters
Author: Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>.
Maintainer: Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>
Depends: R (>= 2.4.1), party, plsgenomics, st, e1071
Suggests:
Description: '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.
License: GPL (>= 2)
URL: http://cran.r-project.org/web/packages/MAclinical/index.html
Packaged: 2012-10-29 08:57:15 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:57:15

● Data Source: CranContrib
● 0 images, 11 functions, 0 datasets
● Reverse Depends: 0

BioMark : Find Biomarkers in Two-Class Discrimination Problems

Package: BioMark
Type: Package
Title: Find Biomarkers in Two-Class Discrimination Problems
Version: 0.4.5
Author: Ron Wehrens, Pietro Franceschi
Maintainer: Ron Wehrens <ron.wehrens@gmail.com>
Description: Variable selection methods are provided for several classification methods: the lasso/elastic net, PCLDA, PLSDA, and several t-tests. Two approaches for selecting cutoffs can be used, one based on the stability of model coefficients under perturbation, and the other on higher criticism.
License: GPL (>= 2)
Depends: pls, glmnet, MASS, st (>= 1.1.6)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2015-09-07 12:04:07 UTC; ron
Repository: CRAN
Date/Publication: 2015-09-07 18:17:37

● Data Source: CranContrib
● Cran Task View: ChemPhys
6 images, 10 functions, 2 datasets
● Reverse Depends: 0