Predicts antimicrobial 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 AmpGram model is too large for CRAN and it has to be downloaded separately from the repository: <https://github.com/michbur/AmpGramModel>.
| Version: | 1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | biogram,devtools,pbapply,ranger,shiny,stringi |
| Suggests: | DT,ggplot2,pander,rmarkdown,shinythemes,spelling |
| Published: | 2020-05-31 |
| DOI: | 10.32614/CRAN.package.AmpGram |
| Author: | Michal Burdukiewicz [cre, aut], Katarzyna Sidorczuk [ctb], Filip Pietluch [ctb], Dominik Rafacz [aut], Stefan Roediger [ctb], Jaroslaw Chilimoniuk [ctb] |
| Maintainer: | Michal Burdukiewicz <michalburdukiewicz at gmail.com> |
| BugReports: | https://github.com/michbur/AmpGram/issues |
| License: | GPL-3 |
| URL: | https://github.com/michbur/AmpGram |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README |
| CRAN checks: | AmpGram results |