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) <doi:10.3390/pharmaceutics12111045>.
Version: 1.0.0 Depends: R (≥ 3.5.0) Imports: biogram, devtools, pbapply, ranger, shiny, stringi, dplyr Suggests: DT, ggplot2, pander, rmarkdown, shinythemes, spelling Published: 2020-11-19 DOI: 10.32614/CRAN.package.CancerGram Author: Michal Burdukiewicz [cre, aut], Katarzyna Sidorczuk [aut], Filip Pietluch [ctb], Dominik Rafacz [ctb], Mateusz Bakala [ctb], Jadwiga SÅowik [ctb] Maintainer: Michal Burdukiewicz <michalburdukiewicz at gmail.com> BugReports: https://github.com/BioGenies/CancerGram/issues License: GPL-3 URL: https://github.com/BioGenies/CancerGram NeedsCompilation: no Language: en-US Citation: CancerGram citation info Materials: README CRAN checks: CancerGram resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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