lionessR: Modeling networks for individual samples using LIONESS

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.

Package details

AuthorMarieke Lydia Kuijjer [aut] (<https://orcid.org/0000-0001-6280-3130>), Ping-Han Hsieh [cre] (<https://orcid.org/0000-0003-3054-1409>)
Bioconductor views GeneExpression Network NetworkInference
MaintainerPing-Han Hsieh <dn070017@gmail.com>
LicenseMIT + file LICENSE
Version1.4.0
URL https://github.com/mararie/lionessR
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("lionessR")

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lionessR documentation built on Nov. 8, 2020, 8:08 p.m.