Package: AntAngioCOOL
Type: Package
Title: Anti-Angiogenic Peptide Prediction
Version: 1.2
Date: 2016-08-01
Author: Babak Khorsand <khorsand@yahoo.com>
Maintainer: Javad Zahiri <zahiri@modares.ac.ir>
Description: 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.
License: GPL-2
RoxygenNote: 5.0.1
Depends: caret,rJava,RWeka,rpart, R(>= 2.10.0)
NeedsCompilation: no
Packaged: 2016-08-01 09:53:32 UTC; Babak
Repository: CRAN
Date/Publication: 2016-08-01 14:01:06