CancerGram

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) doi:10.3390/pharmaceutics12111045.