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This is the development version of lionessR; for the stable release version, see lionessR.

Modeling networks for individual samples using LIONESS

Bioconductor version: Development (3.19)

LIONESS, or Linear Interpolation to Obtain Network Estimates for Single Samples, can be used to reconstruct single-sample networks ( 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] , Ping-Han Hsieh [cre]

Maintainer: Ping-Han Hsieh <dn070017 at>

Citation (from within R, enter citation("lionessR")):


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biocViews GeneExpression, Network, NetworkInference, Software
Version 1.17.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License MIT + file LICENSE
Depends R (>= 3.6.0)
Imports stats, SummarizedExperiment, S4Vectors
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