Package: appnn 1.0-0
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_1.0-0.tar.gz
appnn_1.0-0.zip(r-4.5)appnn_1.0-0.zip(r-4.4)appnn_1.0-0.zip(r-4.3)
appnn_1.0-0.tgz(r-4.4-any)appnn_1.0-0.tgz(r-4.3-any)
appnn_1.0-0.tar.gz(r-4.5-noble)appnn_1.0-0.tar.gz(r-4.4-noble)
appnn_1.0-0.tgz(r-4.4-emscripten)appnn_1.0-0.tgz(r-4.3-emscripten)
appnn.pdf |appnn.html✨
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 9 years agofrom:6a7acac715. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | OK | Nov 01 2024 |
R-4.4-mac | OK | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
Exports:appnnappnn.defaultplot.appnnprint.appnn
Dependencies: