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

Downloads:

Reference manual: BASiNET.pdf
Vignettes: Classification of mRNA and lncRNA sequences
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
OS X binaries: r-release: BASiNET_0.0.4.tgz, r-oldrel: BASiNET_0.0.4.tgz
Old sources: BASiNET archive

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