Last data update: 2014.03.03
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maPredictDSC
Package: maPredictDSC
Version: 1.10.0
Date: 2013-6-27
Title: Phenotype prediction using microarray data: approach of the best
overall team in the IMPROVER Diagnostic Signature Challenge
Author: Adi Laurentiu Tarca <atarca@med.wayne.edu>
Depends: R (>= 2.15.0),
MASS, affy, limma, gcrma, ROC, class, e1071, caret, hgu133plus2.db, ROCR, AnnotationDbi, LungCancerACvsSCCGEO
Suggests: parallel
Maintainer: Adi Laurentiu Tarca <atarca@med.wayne.edu>
Description: This package implements the classification pipeline of the best overall team (Team221) in the IMPROVER Diagnostic Signature Challenge. Additional functionality is added to compare 27 combinations of data preprocessing, feature selection and classifier types.
License: GPL-2
URL: http://bioinformaticsprb.med.wayne.edu/maPredictDSC
biocViews: Microarray, Classification
Collate: aggregateDSC.R perfDSC.R predictDSC.R maPredictDSC.R
Imports:
LazyLoad: yes
Packaged: 2016-05-04 05:01:21 UTC; biocbuild
NeedsCompilation: no
● BiocViews: Classification, Microarray
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0 images,
4 functions,
0 datasets
●
Reverse Depends: 0
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'maPredictDSC' ...
** R
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'maPredictDSC'
finding HTML links ... done
aggregateDSC html
maPredictDSC-internal html
perfDSC html
predictDSC html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (maPredictDSC)
Making 'packages.html' ... done
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