Package: BASiNET 0.0.5

BASiNET: 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) <doi:10.1186/1471-2105-15-311>, 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) <doi:10.1093/nar/gky462>.

Authors:Eric Augusto Ito [aut], Fabricio Martins Lopes [aut, cre]

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BASiNET.pdf |BASiNET.html✨
BASiNET/json (API)

# Install 'BASiNET' in R:
install.packages('BASiNET', repos = c('https://fabriciomlopes.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

softwarebiologicalquestiongeneprediction

2.48 score 7 scripts 271 downloads 3 mentions 1 exports 63 dependencies

Last updated 2 years agofrom:774d97a18f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 15 2024
R-4.5-winOKOct 15 2024
R-4.5-linuxOKOct 15 2024
R-4.4-winOKOct 15 2024
R-4.4-macOKOct 15 2024
R-4.3-winOKOct 15 2024
R-4.3-macOKOct 15 2024

Exports:classification

Dependencies:askpassBiocGenericsBiostringsclicolorspacecpp11crayoncurldata.tabledplyrfansifarvergenericsGenomeInfoDbGenomeInfoDbDataggplot2gluegridExtragtablehttrigraphIRangesisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmgcvmimemunsellnlmeopensslpillarpkgconfigplyrR6randomForestRColorBrewerRcppreshape2rJavarlangrmcfsRWekaRWekajarsS4VectorsscalesstringistringrsystibbletidyselectUCSC.utilsutf8vctrsviridisLitewithrXVectoryamlzlibbioc

BASiNET - Classification of RNA sequences using complex network theory

Eric Augusto Ito

Rendered fromBASiNET.Rmdusingknitr::rmarkdownon Oct 15 2024.

Last update: 2022-08-19
Started: 2018-04-18