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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>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
biogram, devtools, pbapply, ranger, shiny, stringi, dplyr |
| Suggests: |
DT, ggplot2, pander, rmarkdown, shinythemes, spelling |
| Published: |
2020-11-19 |
| DOI: |
10.32614/CRAN.package.CancerGram |
| Author: |
Michal Burdukiewicz
 [cre, aut],
Katarzyna Sidorczuk
[aut],
Filip Pietluch
[ctb],
Dominik Rafacz
[ctb],
Mateusz Bakala
[ctb],
Jadwiga Słowik
[ctb] |
| Maintainer: |
Michal Burdukiewicz <michalburdukiewicz at gmail.com> |
| BugReports: |
https://github.com/BioGenies/CancerGram/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/BioGenies/CancerGram |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
CancerGram citation info |
| Materials: |
README |
| CRAN checks: |
CancerGram results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=CancerGram
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.