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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>.
Getting started
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Package details |
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| Author | Michal Burdukiewicz [cre, aut] (<https://orcid.org/0000-0001-8926-582X>), Katarzyna Sidorczuk [aut] (<https://orcid.org/0000-0001-6576-9054>), Filip Pietluch [ctb] (<https://orcid.org/0000-0001-6218-9804>), Dominik Rafacz [ctb] (<https://orcid.org/0000-0003-0925-1909>), Mateusz Bakala [ctb] (<https://orcid.org/0000-0002-3213-2484>), Jadwiga Słowik [ctb] (<https://orcid.org/0000-0003-3466-8933>) |
| Maintainer | Michal Burdukiewicz <michalburdukiewicz@gmail.com> |
| License | GPL-3 |
| Version | 1.0.0 |
| URL | https://github.com/BioGenies/CancerGram |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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