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.
| 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 |
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