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:Michal Burdukiewicz [cre, aut], Katarzyna Sidorczuk [aut], Filip Pietluch [ctb], Dominik Rafacz [ctb], Mateusz Bakala [ctb], Jadwiga Słowik [ctb]

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)
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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'))

Peer review:

Bug tracker:https://github.com/biogenies/cancergram/issues

Datasets:

On CRAN:

anticancer-peptidesbioinformaticsk-mern-grampeptide-identificationrandom-forests

3.90 score 4 stars 3 scripts 226 downloads 2 mentions 4 exports 114 dependencies

Last updated 4 years agofrom:8f8353bf2e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 12 2024
R-4.5-winOKOct 12 2024
R-4.5-linuxOKOct 12 2024
R-4.4-winOKOct 12 2024
R-4.4-macOKOct 12 2024
R-4.3-winOKOct 12 2024
R-4.3-macOKOct 12 2024

Exports:CancerGram_guiinstall_CancerGramModelpred2dfread_txt

Dependencies:askpassbase64encbiogrambrewbriobslibcachemcallrclicliprcombinatcommonmarkcpp11crayoncredentialscurldescdevtoolsdiffobjdigestdownlitdplyrellipsisentropyevaluatefansifastmapfontawesomefsgenericsgertghgitcredsgluegmphighrhtmltoolshtmlwidgetshttpuvhttr2inijquerylibjsonliteknitrlaterlatticelifecyclemagrittrmathjaxrMatrixmemoisemimeminiUIopensslpartitionspbapplypillarpkgbuildpkgconfigpkgdownpkgloadpolynompraiseprettyunitsprocessxprofvispromisespspurrrR6raggrangerrappdirsrbibutilsrcmdcheckRcppRcppEigenRdpackrematch2remotesrlangrmarkdownroxygen2rprojrootrstudioapirversionssasssessioninfosetsshinyslamsourcetoolsstringistringrsyssystemfontstestthattextshapingtibbletidyselecttinytexurlcheckerusethisutf8vctrswaldowhiskerwithrxfunxml2xopenxtableyamlzip