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lionessR

Modeling networks for individual samples using LIONESS

Bioconductor version: 3.23 · Package version: 1.26.0

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.

Installation

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

BiocManager::install("lionessR")

Details

MaintainerPing-Han Hsieh <dn070017@gmail.com>
AuthorMarieke Lydia Kuijjer [aut] (ORCID: <https://orcid.org/0000-0001-6280-3130>), Ping-Han Hsieh [cre] (ORCID: <https://orcid.org/0000-0003-3054-1409>)
LicenseMIT + file LICENSE
URLhttps://github.com/mararie/lionessR
Bug Reportshttps://github.com/mararie/lionessR/issues
Downloads rank320
Source branchRELEASE_3_23
biocViewsGeneExpression, Network, NetworkInference, Software

Documentation

Download

Dependencies

Depends: R (>= 3.6.0)

Imports: stats, SummarizedExperiment, S4Vectors

Suggests: knitr, rmarkdown, igraph, reshape2, limma