Package: difconet 1.0-4

difconet: Differential Coexpressed Networks

Estimation of DIFferential COexpressed NETworks using diverse and user metrics. This package is basically used for three functions related to the estimation of differential coexpression. First, to estimate differential coexpression where the coexpression is estimated, by default, by Spearman correlation. For this, a metric to compare two correlation distributions is needed. The package includes 6 metrics. Some of them needs a threshold. A new metric can also be specified as a user function with specific parameters (see difconet.run). The significance is be estimated by permutations. Second, to generate datasets with controlled differential correlation data. This is done by either adding noise, or adding specific correlation structure. Third, to show the results of differential correlation analyses. Please see <http://bioinformatica.mty.itesm.mx/difconet> for further information.

Authors:Elpidio-Emmanuel Gonzalez-Valbuena [aut], Victor Trevino [aut, cre]

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difconet.pdf |difconet.html
difconet/json (API)

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

Peer review:

On CRAN:

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

1.00 score 5 scripts 182 downloads 1 mentions 5 exports 15 dependencies

Last updated 7 years agofrom:a193181ae1. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winOKOct 27 2024
R-4.5-linuxOKOct 27 2024
R-4.4-winOKOct 27 2024
R-4.4-macOKOct 27 2024
R-4.3-winOKOct 27 2024
R-4.3-macOKOct 27 2024

Exports:difconet.build.controlled.datasetdifconet.noise.inspectiondifconet.plot.gene.correlationsdifconet.plot.histograms.heatmap2difconet.run

Dependencies:bitopscaToolsclidata.tablegluegplotsgtoolsKernSmoothlifecyclemagrittrmvtnormrlangstringistringrvctrs