BASiNET: Classification of RNA Sequences using Complex Network Theory

It makes the creation of networks from sequences of RNA, with this is done the abstraction of characteristics of these networks with a methodology of threshold for the purpose of making a classification between the classes of the sequences. There are four data present in the 'BASiNET' package, "sequences", "sequences2", "sequences-predict" and "sequences2-predict" with 11, 10, 11 and 11 sequences respectively. These sequences were taken from the data set used in the article (LI, Aimin; ZHANG, Junying; ZHOU, Zhongyin, 2014) <doi:10.1186/1471-2105-15-311>, these sequences are used to run examples. The BASiNET was published on Nucleic Acids Research, (ITO, Eric; KATAHIRA, Isaque; VICENTE, Fábio; PEREIRA, Felipe; LOPES, Fabrício, 2018) <doi:10.1093/nar/gky462>.

Version:	0.0.4
Depends:	R (≥ 3.4.0)
Imports:	igraph, Biostrings, RWeka, randomForest, rmcfs, grDevices, graphics, stats, rJava
Suggests:	knitr, rmarkdown
Published:	2018-10-02
Author:	Eric Augusto Ito
Maintainer:	Eric Augusto Ito <ericaugustoito at hotmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	BASiNET results

Documentation:

Reference manual:	BASiNET.pdf
Vignettes:	Classification of mRNA and lncRNA sequences

Downloads:

Package source:	BASiNET_0.0.4.tar.gz
Windows binaries:	r-devel: BASiNET_0.0.4.zip, r-release: BASiNET_0.0.4.zip, r-oldrel: BASiNET_0.0.4.zip
macOS binaries:	r-release (arm64): BASiNET_0.0.4.tgz, r-oldrel (arm64): BASiNET_0.0.4.tgz, r-release (x86_64): BASiNET_0.0.4.tgz, r-oldrel (x86_64): BASiNET_0.0.4.tgz
Old sources:	BASiNET archive

Linking:

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