Package: minet 3.70.0
minet: Mutual Information NETworks
This package implements various algorithms for inferring mutual information networks from data.
Authors:
minet_3.70.0.tar.gz
minet_3.70.0.zip(r-4.7-x86_64)minet_3.70.0.zip(r-4.7-arm64)minet_3.70.0.zip(r-4.6-x86_64)minet_3.70.0.zip(r-4.6-arm64)minet_3.70.0.zip(r-4.5-x86_64)
minet_3.70.0.tgz(r-4.6-x86_64)minet_3.70.0.tgz(r-4.6-arm64)minet_3.70.0.tgz(r-4.5-x86_64)minet_3.70.0.tgz(r-4.5-arm64)
minet_3.70.0.tar.gz(r-4.7-arm64)minet_3.70.0.tar.gz(r-4.7-x86_64)minet_3.70.0.tar.gz(r-4.6-arm64)minet_3.70.0.tar.gz(r-4.6-x86_64)
minet_3.70.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
minet/json (API)
| # Install 'minet' in R: |
| install.packages('minet', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:minet-3.71.0(bioc 3.24)minet-3.70.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
microarraygraphandnetworknetworknetworkinferencecpp
Last updated from:9901de7dec (on RELEASE_3_23). Checks:1 ERROR, 13 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 118 | ||
| linux-devel-arm64 | NOTE | 151 | ||
| linux-devel-x86_64 | NOTE | 245 | ||
| source / vignettes | OK | 177 | ||
| linux-release-arm64 | NOTE | 131 | ||
| linux-release-x86_64 | NOTE | 222 | ||
| macos-release-arm64 | NOTE | 88 | ||
| macos-release-x86_64 | NOTE | 222 | ||
| macos-oldrel-arm64 | NOTE | 75 | ||
| macos-oldrel-x86_64 | NOTE | 200 | ||
| windows-devel-arm64 | NOTE | 202 | ||
| windows-devel-x86_64 | NOTE | 110 | ||
| windows-release-arm64 | NOTE | 238 | ||
| windows-release-x86_64 | NOTE | 71 | ||
| windows-oldrel-x86_64 | NOTE | 80 | ||
| wasm-release | OK | 113 |
Exports:aracneauc.prauc.rocbuild.mimclrfscoresminetmrnetmrnetbprratesshow.prshow.rocvalidate
Dependencies:infotheo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Algorithm for the Reconstruction of Accurate Cellular NEtworks | aracne |
| Build Mutual Information Matrix | build.mim |
| Context Likelihood or Relatedness Network | clr |
| Mutual Information Network | minet |
| Maximum Relevance Minimum Redundancy | mrnet |
| Maximum Relevance Minimum Redundancy Backward | mrnetb |
| Simulated Gene Expression Data | syn.data |
| SynTReN Source Network | syn.net |
| Inference Validation | validate |
| Visualize Results | auc.pr auc.roc fscores pr rates show.pr show.roc vis.res |
