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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 |
DOI: | 10.32614/CRAN.package.appnn |
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 |
Reference manual: | appnn.pdf |
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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