Package: deepredeff
Title: Deep Learning Prediction of Effectors
Version: 0.1.1
Authors@R: 
    person(given = "Ruth",
           family = "Kristianingsih",
           role = c("aut", "cre", "cph"),
           email = "ruth.kristianingsih30@gmail.com",
           comment = c(ORCID = "0000-0003-1873-6203"))
Description: A tool that contains trained deep learning models
    for predicting effector proteins. 'deepredeff' has been trained to
    identify effector proteins using a set of known experimentally
    validated effectors from either bacteria, fungi, or oomycetes.
    Documentation is available via several vignettes, and the paper by
    Kristianingsih and MacLean (2020) <doi:10.1101/2020.07.08.193250>.
License: MIT + file LICENSE
URL: https://github.com/ruthkr/deepredeff/
BugReports: https://github.com/ruthkr/deepredeff/issues/
Depends: R (>= 2.10)
Imports: Biostrings, dplyr, ggplot2, ggthemes, keras, magrittr, purrr,
        reticulate, rlang, seqinr, tensorflow
Suggests: covr, kableExtra, knitr, rmarkdown, stringr, testthat
VignetteBuilder: knitr
biocViews:
Config/reticulate: list( packages = list( list(package = "tensorflow",
        version = "2.0.0", pip = FALSE) ) )
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-07-16 09:12:16 UTC; kristiar
Author: Ruth Kristianingsih [aut, cre, cph]
    (<https://orcid.org/0000-0003-1873-6203>)
Maintainer: Ruth Kristianingsih <ruth.kristianingsih30@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-16 09:30:02 UTC
Built: R 4.2.0; ; 2023-07-11 02:22:19 UTC; unix
