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BASiNET  

Classification of RNA Sequences using Complex Network Theory
View on CRAN: Click here


Download and install BASiNET package within the R console
Install from CRAN:
install.packages("BASiNET")

Install from Github:
library("remotes")
install_github("cran/BASiNET")

Install by package version:
library("remotes")
install_version("BASiNET", "0.0.5")



Attach the package and use:
library("BASiNET")
Maintained by
Fabricio Martins Lopes
[Scholar Profile | Author Map]
First Published: 2017-12-18
Latest Update: 2022-08-19
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, F
How to cite:
Fabricio Martins Lopes (2017). BASiNET: Classification of RNA Sequences using Complex Network Theory. R package version 0.0.5, https://cran.r-project.org/web/packages/BASiNET. Accessed 05 May. 2025.
Previous versions and publish date:
0.0.2 (2017-12-18 12:03), 0.0.3 (2018-04-19 00:27), 0.0.4 (2018-10-02 22:00)
Other packages that cited BASiNET R package
View BASiNET citation profile
Other R packages that BASiNET depends, imports, suggests or enhances
Complete documentation for BASiNET
Functions, R codes and Examples using the BASiNET R package
Some associated functions: classification . createGraph2D . createNet . measures . minMax . reschedule . threshold . 
Some associated R codes: classification.R . createGraph2D.R . createNet.R . measures.R . minMax.R . reschedule.R . threshold.R .  Full BASiNET package functions and examples
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