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AntAngioCOOL: Anti-Angiogenic Peptide Prediction

Machine learning based package to predict anti-angiogenic peptides using heterogeneous sequence descriptors. 'AntAngioCOOL' exploits five descriptor types of a peptide of interest to do prediction including: pseudo amino acid composition, k-mer composition, k-mer composition (reduced alphabet), physico-chemical profile and atomic profile. According to the obtained results, 'AntAngioCOOL' reached to a satisfactory performance in anti-angiogenic peptide prediction on a benchmark non-redundant independent test dataset.

Version: 1.2
Depends: caret, rJava, RWeka, rpart, R (≥ 2.10.0)
Published: 2016-08-01
DOI: 10.32614/CRAN.package.AntAngioCOOL
Author: Babak Khorsand
Maintainer: Javad Zahiri <zahiri at modares.ac.ir>
License: GPL-2
NeedsCompilation: no
CRAN checks: AntAngioCOOL results

Documentation:

Reference manual: AntAngioCOOL.pdf

Downloads:

Package source: AntAngioCOOL_1.2.tar.gz
Windows binaries: r-devel: AntAngioCOOL_1.2.zip, r-release: AntAngioCOOL_1.2.zip, r-oldrel: AntAngioCOOL_1.2.zip
macOS binaries: r-release (arm64): AntAngioCOOL_1.2.tgz, r-oldrel (arm64): AntAngioCOOL_1.2.tgz, r-release (x86_64): AntAngioCOOL_1.2.tgz, r-oldrel (x86_64): AntAngioCOOL_1.2.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=AntAngioCOOL 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.
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