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>
License: GPL-2
NeedsCompilation: no
CRAN checks: AntAngioCOOL results


Reference manual: AntAngioCOOL.pdf


Package source: AntAngioCOOL_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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