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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.
Package details |
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Author | Carlos Família, Sarah R. Dennison, Alexandre Quintas, David A. Phoenix |
Maintainer | Carlos Família <carlosfamilia@gmail.com> |
License | GPL-3 |
Version | 1.0-0 |
Package repository | View on CRAN |
Installation |
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