Prediction of Anticancer Peptides

Predicts anticancer peptides 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. The CancerGram model is too large for CRAN and it has to be downloaded separately from the repository: <>. For more information see: Burdukiewicz et al. (2020) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0.0 by Michal Burdukiewicz, a year ago

Report a bug at

Browse source code at

Authors: Michal Burdukiewicz [cre, aut] , Katarzyna Sidorczuk [aut] , Filip Pietluch [ctb] , Dominik Rafacz [ctb] , Mateusz Bakala [ctb] , Jadwiga SÅ‚owik [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports biogram, devtools, pbapply, ranger, shiny, stringi, dplyr

Suggests DT, ggplot2, pander, rmarkdown, shinythemes, spelling

See at CRAN