Last data update: 2014.03.03

mlDNA

Package: mlDNA
Type: Package
Title: Machine Learning-based Differential Network Analysis of
Transcriptome Data
Version: 1.1
Date: 2013-11-18
Author: Chuang Ma and Xiangfeng Wang
Maintainer: Chuang Ma <chuangma2006@gmail.com>
Depends: R (>= 2.15.1), snowfall (>= 1.84-4), igraph (>= 0.6.6), rsgcc
(>= 1.0.6), e1071 (>= 1.6-1), randomForest (>= 4.6-7)
Imports: pROC (>= 1.5.4), ROCR (>= 1.0-5)
Suggests: bigmemory, GeneSelector, gplots, nnet, cairoDevice, fBasics
Description: Functions necessary to perform the machine learning-based
differential network analysis of transcriptome data.
URL: http://www.cmbb.arizona.edu/mlDNA
LazyLoad: yes
License: GPL (>= 2)
Packaged: 2013-11-18 17:33:55 UTC; wanglab
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-11-19 07:37:01

● 0 images, 19 functions, 0 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'mlDNA' ...
** package 'mlDNA' successfully unpacked and MD5 sums checked
** R
** data
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'mlDNA'
    finding HTML links ... done
    AverageRankScore                        html  
    ConditionSpecificGenes                  html  
    ConvergenceDegree                       html  
    PSOL_InitialNegativeSelection           html  
    PSOL_NegativeExpansion                  html  
    PSOL_ResultExtraction                   html  
    classifier                              html  
    cross_validation                        html  
    data                                    html  
    exp2net                                 html  
    expFeatureMatrix                        html  
    geneRanker                              html  
    interactionRemoval                      html  
    mlDNA-package                           html  
    netFeatureMatrix                        html  
    optimalScore                            html  
    plotROC                                 html  
    predictor                               html  
    randomSeed                              html  
** building package indices
** testing if installed package can be loaded
* DONE (mlDNA)
Making 'packages.html' ... done