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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: | 1.0-1 |
| Published: | 2024-12-05 |
| DOI: | 10.32614/CRAN.package.appnn |
| Author: | Carlos Família [aut, cre], Sarah R. Dennison [aut], Alexandre Quintas [aut], David A. Phoenix [aut] |
| Maintainer: | Carlos Família <carlosfamilia at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | appnn citation info |
| CRAN checks: | appnn results |
| Reference manual: | appnn.pdf |
| Package source: | appnn_1.0-1.tar.gz |
| Windows binaries: | r-devel: appnn_1.0-1.zip, r-release: appnn_1.0-1.zip, r-oldrel: appnn_1.0-1.zip |
| macOS binaries: | r-release (arm64): appnn_1.0-1.tgz, r-oldrel (arm64): appnn_1.0-1.tgz, r-release (x86_64): appnn_1.0-1.tgz, r-oldrel (x86_64): appnn_1.0-1.tgz |
| Old sources: | appnn archive |
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