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) .


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Reference manual

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install.packages("deepredeff")

0.1.0 by Ruth Kristianingsih, a month ago


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


Report a bug at https://github.com/ruthkr/deepredeff/issues/


Browse source code at https://github.com/cran/deepredeff


Authors: Ruth Kristianingsih [aut, cre, cph]


Documentation:   PDF Manual  


MIT + file LICENSE license


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

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


See at CRAN