CRAN/E | deepredeff

deepredeff

Deep Learning Prediction of Effectors

Installation

About

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.

github.com/ruthkr/deepredeff/
Bug report File report

Key Metrics

Version 0.1.1
R ≥ 2.10
Published 2021-07-16 1015 days ago
Needs compilation? no
License MIT
License File
CRAN checks deepredeff results

Downloads

Yesterday 9 0%
Last 7 days 56 +8%
Last 30 days 232 +3%
Last 90 days 668 -24%
Last 365 days 2.957 -3%

Maintainer

Maintainer

Ruth Kristianingsih

ruth.kristianingsih30@gmail.com

Authors

Ruth Kristianingsih

aut / cre / cph

Material

README
NEWS
Reference manual
Package source

Vignettes

overview
predict

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

deepredeff archive

Depends

R ≥ 2.10

Imports

Biostrings
dplyr
ggplot2
ggthemes
keras
magrittr
purrr
reticulate
rlang
seqinr
tensorflow

Suggests

covr
kableExtra
knitr
rmarkdown
stringr
testthat