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.
|Author||Carlos Família, Sarah R. Dennison, Alexandre Quintas, David A. Phoenix|
|Maintainer||Carlos Família <[email protected]>|
|Package repository||View on CRAN|
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