Package: lionessR 1.27.0
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:
lionessR_1.27.0.tar.gz
lionessR_1.27.0.zip(r-4.7)lionessR_1.27.0.zip(r-4.6)lionessR_1.27.0.zip(r-4.5)
lionessR_1.27.0.tgz(r-4.6-any)lionessR_1.27.0.tgz(r-4.5-any)
lionessR_1.27.0.tar.gz(r-4.7-any)lionessR_1.27.0.tar.gz(r-4.6-any)
lionessR_1.27.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lionessR/json (API)
NEWS
| # Install 'lionessR' in R: |
| install.packages('lionessR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mararie/lionessr/issues
On BioConductor:lionessR-1.27.0(bioc 3.24)lionessR-1.26.0(bioc 3.23)
networknetworkinferencegeneexpression
Last updated from:1c05c01639. Checks:8 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 147 | ||
| linux-devel-x86_64 | NOTE | 228 | ||
| source / vignettes | OK | 148 | ||
| linux-release-x86_64 | NOTE | 193 | ||
| macos-release-arm64 | NOTE | 81 | ||
| macos-oldrel-arm64 | NOTE | 98 | ||
| windows-devel | NOTE | 451 | ||
| windows-release | NOTE | 103 | ||
| windows-oldrel | NOTE | 426 | ||
| wasm-release | OK | 111 |
Dependencies:abindBiobaseBiocGenericsDelayedArraygenericsGenomicRangesIRangeslatticeMatrixMatrixGenericsmatrixStatsS4ArraysS4VectorsSeqinfoSparseArraySummarizedExperimentXVector
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| LIONESS | lioness |
| netFun | netFun |
| OS data | exp OSdata targets |
