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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.
Getting started
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Package details |
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| Author | Carlos Família [aut, cre], Sarah R. Dennison [aut], Alexandre Quintas [aut], David A. Phoenix [aut] |
| Maintainer | Carlos Família <carlosfamilia@gmail.com> |
| License | GPL-3 |
| Version | 1.0-1 |
| Package repository | View on CRAN |
| Installation |
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