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>.">

BASiNET: Classification of RNA Sequences using Complex Network Theory (original) (raw)

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: 0.0.5
Depends: R (≥ 3.4.0)
Imports: igraph, Biostrings, RWeka, randomForest, rmcfs, grDevices, graphics, stats, rJava
Suggests: knitr, rmarkdown
Published: 2022-08-19
DOI: 10.32614/CRAN.package.BASiNET
Author: Eric Augusto Ito ORCID iD [aut], Fabricio Martins LopesORCID iD [aut, cre]
Maintainer: Fabricio Martins Lopes
License: GPL-3
NeedsCompilation: no
In views: NetworkAnalysis, Omics
CRAN checks: BASiNET results

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