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) , 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) .


Reference manual

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0.0.4 by Eric Augusto Ito, 2 years ago

Browse source code at

Authors: Eric Augusto Ito

Documentation:   PDF Manual  

GPL-3 license

Imports igraph, Biostrings, RWeka, randomForest, rmcfs, grDevices, graphics, stats, rJava

Suggests knitr, rmarkdown

See at CRAN