The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

MiRSEA: 'MicroRNA' Set Enrichment Analysis

The tools for 'MicroRNA Set Enrichment Analysis' can identify risk pathways(or prior gene sets) regulated by microRNA set in the context of microRNA expression data. (1) This package constructs a correlation profile of microRNA and pathways by the hypergeometric statistic test. The gene sets of pathways derived from the three public databases (Kyoto Encyclopedia of Genes and Genomes ('KEGG'); 'Reactome'; 'Biocarta') and the target gene sets of microRNA are provided by four databases('TarBaseV6.0'; 'mir2Disease'; 'miRecords'; 'miRTarBase';). (2) This package can quantify the change of correlation between microRNA for each pathway(or prior gene set) based on a microRNA expression data with cases and controls. (3) This package uses the weighted Kolmogorov-Smirnov statistic to calculate an enrichment score (ES) of a microRNA set that co-regulate to a pathway , which reflects the degree to which a given pathway is associated with the specific phenotype. (4) This package can provide the visualization of the results.

Version: 1.1.1
Depends: R (≥ 2.15.1)
Suggests: stats, graphics, grDevices
Published: 2024-01-24
Author: Junwei Han, Siyao Liu
Maintainer: Junwei Han <hanjunwei1981 at 163.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: MiRSEA results

Documentation:

Reference manual: MiRSEA.pdf
Vignettes: MiRSEA Overview

Downloads:

Package source: MiRSEA_1.1.1.tar.gz
Windows binaries: r-devel: MiRSEA_1.1.1.zip, r-release: MiRSEA_1.1.1.zip, r-oldrel: MiRSEA_1.1.1.zip
macOS binaries: r-release (arm64): MiRSEA_1.1.1.tgz, r-oldrel (arm64): MiRSEA_1.1.1.tgz, r-release (x86_64): MiRSEA_1.1.1.tgz, r-oldrel (x86_64): MiRSEA_1.1.1.tgz
Old sources: MiRSEA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MiRSEA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.