CRAN/E | CancerGram

CancerGram

Prediction of Anticancer Peptides

Installation

About

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) doi:10.3390/pharmaceutics12111045.

Citation CancerGram citation info
github.com/BioGenies/CancerGram
Bug report File report

Key Metrics

Version 1.0.0
R ≥ 3.5.0
Published 2020-11-19 1243 days ago
Needs compilation? no
License GPL-3
CRAN checks CancerGram results
Language en-US

Downloads

Yesterday 1
Last 7 days 23 -56%
Last 30 days 188 -2%
Last 90 days 792 +32%
Last 365 days 2.588 -8%

Maintainer

Maintainer

Michal Burdukiewicz

michalburdukiewicz@gmail.com

Authors

Michal Burdukiewicz

cre / aut

Katarzyna Sidorczuk

aut

Filip Pietluch

ctb

Dominik Rafacz

ctb

Mateusz Bakala

ctb

Jadwiga Słowik

ctb

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.5.0

Imports

biogram
devtools
pbapply
ranger
shiny
stringi
dplyr

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