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BASiNET (version 0.0.5)

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 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) .

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Version

Install

install.packages('BASiNET')

Monthly Downloads

280

Version

0.0.5

License

GPL-3

Maintainer

Fabricio Martins Lopes

Last Published

August 19th, 2022

Functions in BASiNET (0.0.5)

createNet

Creates an untargeted graph from a biological sequence
minMax

Minimum and maximum
classification

Performs the classification methodology using complex network theory
reschedule

Rescales the results between values from 0 to 1
threshold

Applies threshold on the network from a value
createGraph2D

Creates a two-dimensional graph between a measure and the threshold
measures

Abstracting Characteristics on Network Structure