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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: | 1.1 |
| Depends: | R (≥ 3.0.0) |
| Imports: | biogram, ranger, seqinr, shiny |
| Published: | 2017-10-11 |
| 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 ChangeLog |
| CRAN checks: | AmyloGram results |
| Reference manual: | AmyloGram.pdf |
| Package source: | AmyloGram_1.1.tar.gz |
| Windows binaries: | r-devel: AmyloGram_1.1.zip, r-release: AmyloGram_1.1.zip, r-oldrel: AmyloGram_1.1.zip |
| macOS binaries: | r-release (arm64): AmyloGram_1.1.tgz, r-oldrel (arm64): AmyloGram_1.1.tgz, r-release (x86_64): AmyloGram_1.1.tgz, r-oldrel (x86_64): AmyloGram_1.1.tgz |
| Old sources: | AmyloGram archive |
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