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:Carlos Família [aut, cre], Sarah R. Dennison [aut], Alexandre Quintas [aut], David A. Phoenix [aut]

appnn_1.0-1.tar.gz
appnn_1.0-1.zip(r-4.5)appnn_1.0-1.zip(r-4.4)appnn_1.0-1.zip(r-4.3)
appnn_1.0-1.tgz(r-4.5-any)appnn_1.0-1.tgz(r-4.4-any)appnn_1.0-1.tgz(r-4.3-any)
appnn_1.0-1.tar.gz(r-4.5-noble)appnn_1.0-1.tar.gz(r-4.4-noble)
appnn_1.0-1.tgz(r-4.4-emscripten)appnn_1.0-1.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'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 7 scripts 320 downloads 4 exports 0 dependencies

Last updated 3 months agofrom:113dfd0d4f. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 03 2025
R-4.5-winOKFeb 03 2025
R-4.5-macOKFeb 03 2025
R-4.5-linuxOKFeb 03 2025
R-4.4-winOKFeb 03 2025
R-4.4-macOKFeb 03 2025
R-4.3-winOKFeb 03 2025
R-4.3-macOKFeb 03 2025

Exports:appnnappnn.defaultplot.appnnprint.appnn

Dependencies: