Package: lionessR 1.21.0

Ping-Han Hsieh

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.

Authors:Marieke Lydia Kuijjer [aut], Ping-Han Hsieh [cre]

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lionessR.pdf |lionessR.html
lionessR/json (API)
NEWS

# Install 'lionessR' in R:
install.packages('lionessR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mararie/lionessr/issues

Datasets:

On BioConductor:lionessR-1.21.0(bioc 3.21)lionessR-1.20.0(bioc 3.20)

networknetworkinferencegeneexpression

5.55 score 21 stars 17 scripts 156 downloads 1 mentions 2 exports 29 dependencies

Last updated 2 months agofrom:26ea400a88. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-winNOTENov 29 2024
R-4.5-linuxNOTENov 29 2024
R-4.4-winNOTENov 29 2024
R-4.4-macNOTENov 29 2024
R-4.3-winOKNov 29 2024
R-4.3-macOKNov 29 2024

Exports:lionessnetFun

Dependencies:abindaskpassBiobaseBiocGenericscrayoncurlDelayedArraygenericsGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesjsonlitelatticeMatrixMatrixGenericsmatrixStatsmimeopensslR6S4ArraysS4VectorsSparseArraySummarizedExperimentsysUCSC.utilsXVectorzlibbioc

lionessR

Rendered fromlionessR.Rmdusingknitr::rmarkdownon Nov 29 2024.

Last update: 2019-09-30
Started: 2018-08-17

Readme and manuals

Help Manual

Help pageTopics
LIONESSlioness
netFunnetFun
OS dataexp OSdata targets