Package: CancerGram 1.0.0
Michal Burdukiewicz
CancerGram: Prediction of Anticancer Peptides
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: <https://github.com/BioGenies/CancerGramModel>. For more information see: Burdukiewicz et al. (2020) <doi:10.3390/pharmaceutics12111045>.
Authors:
CancerGram_1.0.0.tar.gz
CancerGram_1.0.0.zip(r-4.7)CancerGram_1.0.0.zip(r-4.6)CancerGram_1.0.0.zip(r-4.5)
CancerGram_1.0.0.tgz(r-4.6-any)CancerGram_1.0.0.tgz(r-4.5-any)
CancerGram_1.0.0.tar.gz(r-4.7-any)CancerGram_1.0.0.tar.gz(r-4.6-any)
CancerGram_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CancerGram/json (API)
| # Install 'CancerGram' in R: |
| install.packages('CancerGram', repos = c('https://biogenies.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/biogenies/cancergram/issues
- CancerGram_predictions - Prediction of anticancer peptides
anticancer-peptidesbioinformaticsk-mern-grampeptide-identificationrandom-forests
Last updated from:8f8353bf2e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 179 | ||
| source / vignettes | OK | 245 | ||
| linux-release-x86_64 | OK | 187 | ||
| macos-release-arm64 | OK | 136 | ||
| macos-oldrel-arm64 | OK | 89 | ||
| windows-devel | OK | 122 | ||
| windows-release | OK | 105 | ||
| windows-oldrel | OK | 121 | ||
| wasm-release | OK | 145 |
Exports:CancerGram_guiinstall_CancerGramModelpred2dfread_txt
Dependencies:askpassbase64encbiogrambrewbriobslibcachemcallrclicliprcombinatcommonmarkcpp11crayoncredentialscurldescdevtoolsdiffobjdigestdownlitdplyrellipsisentropyevaluatefansifastmapfontawesomefsgenericsgertgitcredsgluegmphighrhtmltoolshtmlwidgetshttpuvhttr2inijquerylibjsonliteknitrlaterlatticelifecyclemagrittrMatrixmemoisemimeminiUIopensslotelpakpartitionspbapplypillarpkgbuildpkgconfigpkgdownpkgloadpolynompraiseprettyunitsprocessxprofvispromisespspurrrR6raggrangerrappdirsrbibutilsrcmdcheckRcppRcppEigenRdpackrlangrmarkdownroxygen2rprojrootrstudioapirversionssasssessioninfosetsshinyslamsourcetoolsstringisyssystemfontstestthattextshapingtibbletidyselecttinytexurlcheckerusethisutf8vctrswaldowhiskerwithrxfunxml2xopenxtableyamlzip
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Prediction of anticancer peptides | CancerGram-package CancerGram |
| CancerGram Graphical User Interface | CancerGram_gui |
| Prediction of anticancer peptides | CancerGram_predictions |
| Install CancerGramModel package containing model for ACP prediction | install_CancerGramModel |
| Convert predictions to data.frame Return predictions as data.frame | pred2df |
| Predict anticancer peptides | predict.cancergram_model |
| Read sequences from .txt file | read_txt |
