appnn: Amyloid Propensity Prediction Neural Network
Version 1.0-0

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.

Browse man pages Browse package API and functions Browse package files

AuthorCarlos Família, Sarah R. Dennison, Alexandre Quintas, David A. Phoenix
Date of publication2015-07-12 18:27:00
MaintainerCarlos Família <carlosfamilia@gmail.com>
LicenseGPL-3
Version1.0-0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("appnn")

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...

Functions

appnn Man page Source code
appnn-package Man page
appnn.default Man page Source code
plot.appnn Man page Source code
print.appnn Man page Source code

Files

NAMESPACE
R
R/sysdata.rda
R/appnn.r
MD5
DESCRIPTION
man
man/appnn-package.Rd
man/appnn.Rd
man/print.Rd
man/plot.Rd
appnn documentation built on May 19, 2017, 10:10 a.m.