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CancerGram  

Prediction of Anticancer Peptides
View on CRAN: Click here


Download and install CancerGram package within the R console
Install from CRAN:
install.packages("CancerGram")

Install from Github:
library("remotes")
install_github("cran/CancerGram")

Install by package version:
library("remotes")
install_version("CancerGram", "1.0.0")



Attach the package and use:
library("CancerGram")
Maintained by
Michal Burdukiewicz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-19
Latest Update: 2020-11-19
Description:
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: . For more information see: Burdukiewicz et al. (2020) .
How to cite:
Michal Burdukiewicz (2020). CancerGram: Prediction of Anticancer Peptides. R package version 1.0.0, https://cran.r-project.org/web/packages/CancerGram
Previous versions and publish date:
No previous versions
Other packages that cited CancerGram R package
View CancerGram citation profile
Other R packages that CancerGram depends, imports, suggests or enhances
Functions, R codes and Examples using the CancerGram R package
Some associated functions: CancerGram-package . CancerGram_gui . CancerGram_predictions . install_CancerGramModel . pred2df . predict.cancergram_model . read_txt . 
Some associated R codes: CancerGram-package.R . CancerGram_gui.R . datasets.R . pred2df.R . predict.R . read_txt.R . utils.R . zzz.R .  Full CancerGram package functions and examples
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