Predicts amyloid proteins 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.
| Version: | 1.0 |
| Depends: | R (≥ 3.0.0) |
| Imports: | biogram, ranger, seqinr, shiny |
| Suggests: | DT, ggplot2, knitr, markdown, rmarkdown |
| Published: | 2016-09-24 |
| Author: | Michal Burdukiewicz [cre, aut], Piotr Sobczyk [ctb], Stefan Roediger [ctb] |
| Maintainer: | Michal Burdukiewicz <michalburdukiewicz at gmail.com> |
| BugReports: | https://github.com/michbur/AmyloGram/issues |
| License: | GPL-3 |
| URL: | https://github.com/michbur/AmyloGram |
| NeedsCompilation: | no |
| Citation: | AmyloGram citation info |
| Materials: | README |
| CRAN checks: | AmyloGram results |
| Reference manual: | AmyloGram.pdf |
| Package source: | AmyloGram_1.0.tar.gz |
| Windows binaries: | r-devel: AmyloGram_1.0.zip, r-release: AmyloGram_1.0.zip, r-oldrel: AmyloGram_1.0.zip |
| OS X El Capitan binaries: | r-release: AmyloGram_1.0.tgz |
| OS X Mavericks binaries: | r-oldrel: AmyloGram_1.0.tgz |
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