synRNASeqNet: Synthetic RNA-Seq Network Generation and Mutual Information Estimates

It implements various estimators of mutual information, such as the maximum likelihood and the Millow-Madow estimator, various Bayesian estimators, the shrinkage estimator, and the Chao-Shen estimator. It also offers wrappers to the kNN and kernel density estimators. Furthermore, it provides various index of performance evaluation such as precision, recall, FPR, F-Score, ROC-PR Curves and so on. Lastly, it provides a brand new way of generating synthetic RNA-Seq Network with known dependence structure.

Version: 1.0
Depends: R (≥ 3.1.1), parallel, parmigene, GenKern, igraph
Imports: KernSmooth
Published: 2015-04-20
Author: Luciano Garofano, Stefano Maria Pagnotta, Michele Ceccarelli
Maintainer: Luciano Garofano <lucianogarofano88 at gmail.com>
License: GPL (≥ 3)
URL: https://github.com/lucgar/synRNASeqNet
NeedsCompilation: no
CRAN checks: synRNASeqNet results

Downloads:

Reference manual: synRNASeqNet.pdf
Package source: synRNASeqNet_1.0.tar.gz
Windows binaries: r-devel: synRNASeqNet_1.0.zip, r-release: synRNASeqNet_1.0.zip, r-oldrel: synRNASeqNet_1.0.zip
OS X Mavericks binaries: r-release: synRNASeqNet_1.0.tgz, r-oldrel: synRNASeqNet_1.0.tgz

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