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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 |
| 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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