appnn: Amyloid Propensity Prediction Neural Network

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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.

Author
Carlos Família, Sarah R. Dennison, Alexandre Quintas, David A. Phoenix
Date of publication
2015-07-12 18:27:00
Maintainer
Carlos Família <carlosfamilia@gmail.com>
License
GPL-3
Version
1.0-0

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Man pages

appnn
Prediction of the amyloidogenicity propensity for polypeptide...
appnn-package
Amyloid propensity prediction neural network (APPNN)
plot
Plots generation of the amyloidogenicity propensity predicted...
print
Print the amyloidogenicity propensity predicted values to the...

Files in this package

appnn
appnn/NAMESPACE
appnn/R
appnn/R/sysdata.rda
appnn/R/appnn.r
appnn/MD5
appnn/DESCRIPTION
appnn/man
appnn/man/appnn-package.Rd
appnn/man/appnn.Rd
appnn/man/print.Rd
appnn/man/plot.Rd