Description
Prediction of Amyloid Proteins.
Description
Predicts amyloid proteins using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI.
README.md
Predict amyloid proteins
AmyloGram predicts amyloid proteins using n-gram encoding and random forests. It can be also accessed as a web-based service http://www.smorfland.uni.wroc.pl/shiny/AmyloGram/.
Local instance of AmyloGram
AmyloGram can be used installed from CRAN as the R package:
install.packages("AmyloGram")
You can install the latest development version of the code using the devtools R package.
# Install devtools, if you haven't already.
install.packages("devtools")
devtools::install_github("michbur/AmyloGram")
After installation GUI can be accessed locally:
library(AmyloGram)
AmyloGram_gui()
Predictions might be also made in the batch mode:
data(AmyloGram_model)
data(pep424)
predict(AmyloGram_model, pep424[1L:20])