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lionessR

This is the released version of lionessR; for the devel version, see lionessR.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10

Modeling networks for individual samples using LIONESS


Bioconductor version: Release (3.23)

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, enter citation("lionessR")):

Marieke Lydia Kuijjer. lionessR: Modeling networks for individual samples using LIONESS. doi:10.18129/B9.bioc.lionessR, R package version 1.26.0, https://bioconductor.org/packages/lionessR.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("lionessR")

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

Documentation

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

browseVignettes("lionessR")
lionessR HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews GeneExpression, Network, NetworkInference, Software
Version1.26.0
In Bioconductor sinceBioC 3.10 (R-3.6) (7 years)
License MIT + file LICENSE
Depends R (>= 3.6.0)
Imports stats, SummarizedExperiment, S4Vectors
System Requirements
URLhttps://github.com/mararie/lionessR
Bug Reportshttps://github.com/mararie/lionessR/issues
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Suggests knitr, rmarkdown, igraph, reshape2, limma
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Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package lionessR_1.26.0.tar.gz
Windows Binary (x86_64) lionessR_1.26.0.zip
macOS Binary (big-sur-x86_64) lionessR_1.26.0.tgz
macOS Binary (sonoma-arm64) lionessR_1.26.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/lionessR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/lionessR
Package Short Url https://bioconductor.org/packages/lionessR/
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