Package: Ac3net 1.2.2
Ac3net: Inferring Directional Conservative Causal Core Gene Networks
Infers directional conservative causal core (gene) networks. It is an advanced version of the algorithm C3NET by providing directional network. Gokmen Altay (2018) <doi:10.1101/271031>, bioRxiv.
Authors:
Ac3net_1.2.2.tar.gz
Ac3net_1.2.2.zip(r-4.7)Ac3net_1.2.2.zip(r-4.6)Ac3net_1.2.2.zip(r-4.5)
Ac3net_1.2.2.tgz(r-4.6-any)Ac3net_1.2.2.tgz(r-4.5-any)
Ac3net_1.2.2.tar.gz(r-4.7-any)Ac3net_1.2.2.tar.gz(r-4.6-any)
Ac3net_1.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Ac3net/json (API)
| # Install 'Ac3net' in R: |
| install.packages('Ac3net', repos = c('https://altayg.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:ef9d02af14. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 100 | ||
| source / vignettes | OK | 145 | ||
| linux-release-x86_64 | OK | 85 | ||
| macos-release-arm64 | OK | 93 | ||
| macos-oldrel-arm64 | OK | 92 | ||
| windows-devel | OK | 62 | ||
| windows-release | OK | 54 | ||
| windows-oldrel | OK | 62 | ||
| wasm-release | OK | 94 |
Exports:Ac3netAc3net.commonlinksAc3net.cutoffAc3net.filtersamesAc3net.getDifferentLinksAc3net.getDirectedOrDualLinksAc3net.maxmimAc3net.MTCAc3net.performance
Dependencies:data.table
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Implement Ac3net algorithm with a single function. | Ac3net |
| Find the common links between the network lists. | Ac3net.commonlinks |
| Calculates a quick cutoff value from an adjacency matrix | Ac3net.cutoff |
| The correlations of the same variables are set to zero. | Ac3net.filtersames |
| Find the different links between the network lists. | Ac3net.getDifferentLinks |
| Find the unique directed or dual links in the network. | Ac3net.getDirectedOrDualLinks |
| Find the maximum valued partner of each variable. | Ac3net.maxmim |
| Return adjusted p-values of the adjancency matrix. | Ac3net.MTC |
| Find the performance of the first network based on the second. | Ac3net.performance |
| Real E.coli Gene Expression Dataset | expdata |
| The known intreactions of E.coli from RegulonDB database. | truenet |
| The indices to force to zero correlations. | zeroindx |
