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: 2021-07-16 DOI: 10.32614/CRAN.package.deepredeff Author: Ruth Kristianingsih [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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=deepredeff to link to this page.
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