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 |
| Author: |
Eric Augusto Ito 
[aut],
Fabricio Martins Lopes
[aut, cre] |
| Maintainer: |
Fabricio Martins Lopes <fabricio at utfpr.edu.br> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
BASiNET results |
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