CRAN: Package deepredeff

deepredeff: Deep Learning Prediction of Effectors

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>.

Version: 0.1.1

Depends: R (≥ 2.10)

Imports: Biostrings, dplyr, ggplot2, ggthemes, keras, magrittr, purrr, reticulate, rlang, seqinr, tensorflow

Suggests: covr, kableExtra, knitr, rmarkdown, stringr, testthat

Published: 2021年07月16日

DOI: 10.32614/CRAN.package.deepredeff

Author: Ruth Kristianingsih ORCID iD [aut, cre, cph]

Maintainer: Ruth Kristianingsih <ruth.kristianingsih30 at gmail.com>

BugReports: https://github.com/ruthkr/deepredeff/issues/

License: MIT + file LICENSE

URL: https://github.com/ruthkr/deepredeff/

NeedsCompilation: no

Materials: README, NEWS

CRAN checks: deepredeff results

Documentation:

Reference manual: deepredeff.html , deepredeff.pdf

Vignettes: overview (source, R code)
predict (source, R code)

Downloads:

Package source: deepredeff_0.1.1.tar.gz

Windows binaries: r-devel: deepredeff_0.1.1.zip, r-release: deepredeff_0.1.1.zip, r-oldrel: deepredeff_0.1.1.zip

macOS binaries: r-release (arm64): deepredeff_0.1.1.tgz, r-oldrel (arm64): deepredeff_0.1.1.tgz, r-release (x86_64): deepredeff_0.1.1.tgz, r-oldrel (x86_64): deepredeff_0.1.1.tgz

Old sources: deepredeff archive

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