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
Author: Babak Khorsand
Maintainer: Javad Zahiri <zahiri at modares.ac.ir>
License: GPL-2
NeedsCompilation: no
CRAN checks: AntAngioCOOL results

Downloads:

Reference manual: AntAngioCOOL.pdf
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
OS X El Capitan binaries: r-release: AntAngioCOOL_1.2.tgz
OS X Mavericks binaries: r-oldrel: AntAngioCOOL_1.2.tgz

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