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Bioconductor - lionessR

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

Bioconductor version: Release (3.21)

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: 0000-0001-6280-3130 , Ping-Han Hsieh [cre] ORCID: 0000-0003-3054-1409

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

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 appropriate Bioconductor release.

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

browseVignettes("lionessR")

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

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