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 |
| 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 |
| macOS binaries: | r-release: synRNASeqNet_1.0.tgz, r-oldrel: synRNASeqNet_1.0.tgz |
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