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BASiNET
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
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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 18 Jul. 2026.
Previous versions and publish date:
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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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