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 DOI: 10.32614/CRAN.package.AmyloGram 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 Documentation: Reference manual: AmyloGram.html , AmyloGram.pdf Downloads: 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 Linking:Please use the canonical form https://CRAN.R-project.org/package=AmyloGram to link to this page.
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