mlDNA: Machine Learning-based Differential Network Analysis of Transcriptome Data

Functions necessary to perform the machine learning-based differential network analysis of transcriptome data.

Version: 1.1
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
Published: 2013-11-19
Author: Chuang Ma and Xiangfeng Wang
Maintainer: Chuang Ma <chuangma2006 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.cmbb.arizona.edu/mlDNA
NeedsCompilation: no
CRAN checks: mlDNA results

Downloads:

Reference manual: mlDNA.pdf
Package source: mlDNA_1.1.tar.gz
OS X binary: mlDNA_1.1.tgz
Windows binary: mlDNA_1.1.zip
Old sources: mlDNA archive