Package: TargetScore 1.51.0
Yue Li
TargetScore: TargetScore: Infer microRNA targets using microRNA-overexpression data and sequence information
Infer the posterior distributions of microRNA targets by probabilistically modelling the likelihood microRNA-overexpression fold-changes and sequence-based scores. Variaitonal Bayesian Gaussian mixture model (VB-GMM) is applied to log fold-changes and sequence scores to obtain the posteriors of latent variable being the miRNA targets. The final targetScore is computed as the sigmoid-transformed fold-change weighted by the averaged posteriors of target components over all of the features.
Authors:
TargetScore_1.51.0.tar.gz
TargetScore_1.51.0.zip(r-4.7)TargetScore_1.51.0.zip(r-4.6)TargetScore_1.51.0.zip(r-4.5)
TargetScore_1.51.0.tgz(r-4.6-any)TargetScore_1.51.0.tgz(r-4.5-any)
TargetScore_1.51.0.tar.gz(r-4.7-any)TargetScore_1.51.0.tar.gz(r-4.6-any)
TargetScore_1.51.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
TargetScore/json (API)
NEWS
| # Install 'TargetScore' in R: |
| install.packages('TargetScore', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:TargetScore-1.51.0(bioc 3.24)TargetScore-1.50.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:ff78e08775. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 148 | ||
| linux-devel-x86_64 | NOTE | 175 | ||
| source / vignettes | OK | 183 | ||
| linux-release-x86_64 | NOTE | 190 | ||
| macos-release-arm64 | NOTE | 118 | ||
| macos-oldrel-arm64 | NOTE | 82 | ||
| windows-devel | NOTE | 112 | ||
| windows-release | NOTE | 90 | ||
| windows-oldrel | NOTE | 118 | ||
| wasm-release | OK | 118 |
Exports:bsxfun.sedot.extgetTargetScoresinitializationlogmvgammalogsumexpsort_componentstargetScorevbgmmvboundvexpvmax
