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: | 0.0.5 |
| 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 [aut], Fabricio Martins Lopes [aut, cre] |
| Maintainer: | Fabricio Martins Lopes <fabricio at utfpr.edu.br> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| In views: | NetworkAnalysis,Omics |
| CRAN checks: | BASiNET results |
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