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.