Package: appnn 1.0-1
appnn: Amyloid Propensity Prediction Neural Network
Amyloid propensity prediction neural network (APPNN) is an amyloidogenicity propensity predictor based on a machine learning approach through recursive feature selection and feed-forward neural networks, taking advantage of newly published sequences with experimental, in vitro, evidence of amyloid formation.
Authors:
appnn_1.0-1.tar.gz
appnn_1.0-1.zip(r-4.7)appnn_1.0-1.zip(r-4.6)appnn_1.0-1.zip(r-4.5)
appnn_1.0-1.tgz(r-4.6-any)appnn_1.0-1.tgz(r-4.5-any)
appnn_1.0-1.tar.gz(r-4.7-any)appnn_1.0-1.tar.gz(r-4.6-any)
appnn_1.0-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
appnn/json (API)
| # Install 'appnn' in R: |
| install.packages('appnn', repos = c('https://carlosfamilia.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:113dfd0d4f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 101 | ||
| source / vignettes | OK | 139 | ||
| linux-release-x86_64 | OK | 94 | ||
| macos-release-arm64 | OK | 150 | ||
| macos-oldrel-arm64 | OK | 180 | ||
| windows-devel | OK | 73 | ||
| windows-release | OK | 55 | ||
| windows-oldrel | OK | 72 | ||
| wasm-release | OK | 77 |
Exports:appnnappnn.defaultplot.appnnprint.appnn
Dependencies:
