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.

Version: 1.0-0
Published: 2015-07-12
Author: Carlos Família, Sarah R. Dennison, Alexandre Quintas, David A. Phoenix
Maintainer: Carlos Família <carlosfamilia at>
License: GPL-3
NeedsCompilation: no
CRAN checks: appnn results


Reference manual: appnn.pdf


Package source: appnn_1.0-0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): appnn_1.0-0.tgz, r-oldrel (arm64): appnn_1.0-0.tgz, r-release (x86_64): appnn_1.0-0.tgz, r-oldrel (x86_64): appnn_1.0-0.tgz


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