Package: CancerGram Type: Package Title: Prediction of Anticancer Peptides Version: 1.0.0 LazyData: TRUE Date: 2020-11-16 Authors@R: c(person("Michal", "Burdukiewicz", email = "michalburdukiewicz@gmail.com", comment = c(ORCID = "0000-0001-8926-582X"), role = c("cre", "aut")), person("Katarzyna", "Sidorczuk", email = "sidorczuk.katarzyna17@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0001-6576-9054")), person("Filip", "Pietluch", email = "fpietluch@gmail.com", role = c("ctb"), comment = c(ORCID = "0000-0001-6218-9804")), person("Dominik", "Rafacz", email = "dominikrafacz@gmail.com", role = c("ctb"), comment = c(ORCID = "0000-0003-0925-1909")), person("Mateusz", "Bakala", email = "matibakala@gmail.com", comment = c(ORCID = "0000-0002-3213-2484"), role = c("ctb")), person("Jadwiga", "Słowik", comment = c(ORCID = "0000-0003-3466-8933"), email = "jadwiga.slowik5@gmail.com", role = c("ctb"))) Description: 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: . For more information see: Burdukiewicz et al. (2020) . License: GPL-3 URL: https://github.com/BioGenies/CancerGram BugReports: https://github.com/BioGenies/CancerGram/issues Encoding: UTF-8 Depends: R (>= 3.5.0) Imports: biogram, devtools, pbapply, ranger, shiny, stringi, dplyr Suggests: DT, ggplot2, pander, rmarkdown, shinythemes, spelling RoxygenNote: 7.1.1 Language: en-US NeedsCompilation: no Packaged: 2026-11-03 19:05:06 UTC; root Author: Michal Burdukiewicz [cre, aut] (), Katarzyna Sidorczuk [aut] (), Filip Pietluch [ctb] (), Dominik Rafacz [ctb] (), Mateusz Bakala [ctb] (), Jadwiga Słowik [ctb] () Maintainer: Michal Burdukiewicz Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev libfribidi-dev git libgmp3-dev make libharfbuzz-dev libgit2-dev libicu-dev libjpeg-dev libpng-dev libtiff-dev libuv1-dev libwebp-dev libxml2-dev libssl-dev libx11-dev zlib1g-dev Repository: https://cranhaven.r-universe.dev Date/Publication: 2026-11-03 06:02:00 UTC RemoteUrl: https://github.com/cranhaven/cranhaven.r-universe.dev RemoteRef: package/CancerGram RemoteSha: e221de59623694ae0a062235b7bbc628ac5cd2c0 RemoteSubdir: CancerGram