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 gmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	appnn results

Documentation:

Reference manual:

appnn.pdf

Downloads:

Package source:	appnn_1.0-0.tar.gz
Windows binaries:	r-devel: appnn_1.0-0.zip, r-release: appnn_1.0-0.zip, r-oldrel: appnn_1.0-0.zip
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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