Classification of RNA Sequences using Complex Network and Information 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 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) , these sequences are used to run examples.


Reference manual

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0.99.1 by Fabricio Martins Lopes, 11 days ago

Browse source code at

Authors: Murilo Montanini Breve [aut] , Matheus Henrique Pimenta-Zanon [aut] , Fabricio Martins Lopes [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports igraph, Biostrings, randomForest

Suggests knitr, rmarkdown

See at CRAN