Title: Classification of RNA Sequences using Complex Network Theory
Description: 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 two data present in the 'BASiNET' package, "sequences" and "sequences2" with 11 and 10 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.
Imports: igraph, Biostrings, RWeka, randomForest, rmcfs, grDevices,

Description: 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>.

Packaged: 2022-08-18 12:17:20 UTC; matheuspimenta
Author: Eric Augusto Ito [aut] (<https://orcid.org/0000-0002-0030-6881>),
Maintainer: Fabricio Martins Lopes <fabricio@utfpr.edu.br>

Title: Classification of RNA Sequences using Complex Network and
Description: 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 maximum entropy for the purpose of making a classification between the classes of the sequences. There are two data present in the 'BASiNET' package, "mRNA", and "ncRNA" with 100 sequences. 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.
Author: Murilo Montanini Breve [aut] (<https://orcid.org/0000-0002-5781-0480>),