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: < https://github.com/BioGenies/CancerGramModel>. For more information see: Burdukiewicz et al. (2020) .


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install.packages("CancerGram")

1.0.0 by Michal Burdukiewicz, 6 days ago


https://github.com/BioGenies/CancerGram


Report a bug at https://github.com/BioGenies/CancerGram/issues


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


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