Package: appnn
Type: Package
Title: Amyloid Propensity Prediction Neural Network
Version: 1.0-1
Date: 2024-12-05
Encoding: UTF-8
Authors@R: c(person(given = "Carlos",
                    family = "Família",
                    role = c("aut", "cre"),
                    email = "carlosfamilia@gmail.com"),
             person(given = c("Sarah", "R."),
                    family = "Dennison",
                    role = "aut"),
             person(given = "Alexandre",
                    family = "Quintas",
                    role = "aut"),
             person(given = c("David", "A."),
                    family = "Phoenix",
                    role = "aut"))
Author: Carlos Família [aut, cre], Sarah R. Dennison [aut], Alexandre
        Quintas [aut], David A. Phoenix [aut]
Maintainer: Carlos Família <carlosfamilia@gmail.com>
Description: 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.
License: GPL-3
NeedsCompilation: no
Packaged: 2026-09-23 07:39:33 UTC; root
Repository: https://carlosfamilia.r-universe.dev
Date/Publication: 2024-12-05 23:31:11 UTC
RemoteUrl: https://github.com/cran/appnn
RemoteRef: HEAD
RemoteSha: 113dfd0d4fd649060f7ef0585b23a51595597952