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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: mlDNA results


Reference manual: mlDNA.pdf
Package source: mlDNA_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: mlDNA_1.1.tgz
Old sources: mlDNA archive


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