Package: lionessR 1.19.0

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

On BioConductor:lionessR-1.19.0(bioc 3.20)lionessR-1.18.0(bioc 3.19)

bioconductor-package

2 exports 0.91 score 28 dependencies 1 mentions

Last updated 2 months agofrom:919cb3012b

Exports:lionessnetFun

Dependencies:abindaskpassBiobaseBiocGenericscrayoncurlDelayedArrayGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesjsonlitelatticeMatrixMatrixGenericsmatrixStatsmimeopensslR6S4ArraysS4VectorsSparseArraySummarizedExperimentsysUCSC.utilsXVectorzlibbioc