Package: lionessR
Title: Modeling networks for individual samples using LIONESS
Version: 1.27.0
Description: 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.
Authors@R: c(person(c("Marieke", "Lydia"), "Kuijjer", 
                    role = c("aut"), 
                    email = "marieke.kuijjer@ncmm.uio.no", 
                    comment = c(ORCID = "0000-0001-6280-3130")),
             person("Ping-Han", "Hsieh",
                    role = c("cre"),
                    email = "dn070017@gmail.com",
                    comment = c(ORCID = "0000-0003-3054-1409")))
License: MIT + file LICENSE
LazyData: TRUE
Imports: stats, SummarizedExperiment, S4Vectors
Depends: R (>= 3.6.0)
Suggests: knitr, rmarkdown, igraph, reshape2, limma,
biocViews: Network, NetworkInference, GeneExpression
BugReports: https://github.com/mararie/lionessR/issues
URL: https://github.com/mararie/lionessR
Encoding: UTF-8
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Config/pak/sysreqs: zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:50:59 UTC
RemoteUrl: https://github.com/bioc/lionessR
RemoteRef: HEAD
RemoteSha: 1c05c0163999c42e42706f3315baf734d635de3d
NeedsCompilation: no
Packaged: 2026-05-30 07:44:51 UTC; root
Author: Marieke Lydia Kuijjer [aut] (ORCID:
    <https://orcid.org/0000-0001-6280-3130>),
  Ping-Han Hsieh [cre] (ORCID: <https://orcid.org/0000-0003-3054-1409>)
Maintainer: Ping-Han Hsieh <dn070017@gmail.com>
Built: R 4.6.0; ; 2026-05-30 07:46:24 UTC; windows
