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-4.5)CancerGram_1.0.0.zip(r-4.4)CancerGram_1.0.0.zip(r-4.3)
CancerGram_1.0.0.tgz(r-4.4-any)CancerGram_1.0.0.tgz(r-4.3-any)
CancerGram_1.0.0.tar.gz(r-4.5-noble)CancerGram_1.0.0.tar.gz(r-4.4-noble)
CancerGram_1.0.0.tgz(r-4.4-emscripten)CancerGram_1.0.0.tgz(r-4.3-emscripten)
CancerGram.pdf |CancerGram.html✨
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 4 years agofrom:8f8353bf2e. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 11 2024 |
| R-4.5-win | OK | Nov 11 2024 |
| R-4.5-linux | OK | Nov 11 2024 |
| R-4.4-win | OK | Nov 11 2024 |
| R-4.4-mac | OK | Nov 11 2024 |
| R-4.3-win | OK | Nov 11 2024 |
| R-4.3-mac | OK | Nov 11 2024 |
Exports:CancerGram_guiinstall_CancerGramModelpred2dfread_txt
Dependencies:askpassbase64encbiogrambrewbriobslibcachemcallrclicliprcombinatcommonmarkcpp11crayoncredentialscurldescdevtoolsdiffobjdigestdownlitdplyrellipsisentropyevaluatefansifastmapfontawesomefsgenericsgertghgitcredsgluegmphighrhtmltoolshtmlwidgetshttpuvhttr2inijquerylibjsonliteknitrlaterlatticelifecyclemagrittrmathjaxrMatrixmemoisemimeminiUIopensslpartitionspbapplypillarpkgbuildpkgconfigpkgdownpkgloadpolynompraiseprettyunitsprocessxprofvispromisespspurrrR6raggrangerrappdirsrbibutilsrcmdcheckRcppRcppEigenRdpackremotesrlangrmarkdownroxygen2rprojrootrstudioapirversionssasssessioninfosetsshinyslamsourcetoolsstringistringrsyssystemfontstestthattextshapingtibbletidyselecttinytexurlcheckerusethisutf8vctrswaldowhiskerwithrxfunxml2xopenxtableyamlzip
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 |
