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:Carlos Família, Sarah R. Dennison, Alexandre Quintas, David A. Phoenix

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)

Peer review:

On CRAN:

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

4 exports 0.00 score 0 dependencies 6 scripts 199 downloads

Last updated 9 years agofrom:6a7acac715. Checks:OK: 7. Indexed: yes.

Exports:appnnappnn.defaultplot.appnnprint.appnn

Dependencies: