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lionessR

This is thereleased version of lionessR; for the devel version, seelionessR.

Modeling networks for individual samples using LIONESS

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DOI: 10.18129/B9.bioc.lionessR


Bioconductor version: Release (3.22)

LIONESS, or Linear Interpolation to Obtain Network Estimates for Single Samples, can be used to reconstruct single-sample networks (https://arxiv.org/abs/1505.06440). This code implements the LIONESS equation in the lioness function in R to reconstruct single-sample networks. The default network reconstruction method we use is based on Pearson correlation. However, lionessR can run on any network reconstruction algorithms that returns a complete, weighted adjacency matrix. lionessR works for both unipartite and bipartite networks.

Author: Marieke Lydia Kuijjer [aut]ORCID iD ORCID: 0000-0001-6280-3130, Ping-Han Hsieh [cre]ORCID iD ORCID: 0000-0003-3054-1409

Maintainer: Ping-Han Hsieh <dn070017 at gmail.com>

Citation (from within R, entercitation("lionessR")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("lionessR")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("lionessR")
lionessRHTMLR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsGeneExpression,Network,NetworkInference,Software
Version1.24.0
In Bioconductor sinceBioC 3.10 (R-3.6) (6 years)
LicenseMIT + fileLICENSE
DependsR (>= 3.6.0)
Importsstats,SummarizedExperiment,S4Vectors
System Requirements
URLhttps://github.com/mararie/lionessR
Bug Reportshttps://github.com/mararie/lionessR/issues
See More
Suggestsknitr,rmarkdown,igraph,reshape2,limma
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagelionessR_1.24.0.tar.gz
Windows Binary (x86_64) lionessR_1.24.0.zip
macOS Binary (x86_64)lionessR_1.24.0.tgz
macOS Binary (arm64)lionessR_1.24.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/lionessR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/lionessR
Bioc Package Browserhttps://code.bioconductor.org/browse/lionessR/
Package Short Urlhttps://bioconductor.org/packages/lionessR/
Package Downloads ReportDownload Stats

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