<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Anti-Angiogenic Peptide Prediction</dc:title>
  <dc:title>R package AntAngioCOOL version 1.2</dc:title>
  <dc: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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: caret,rJava,RWeka,rpart, R(&gt;= 2.10.0)</dc:relation>
  <dc:creator>Javad Zahiri &lt;zahiri@modares.ac.ir&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Babak Khorsand &lt;khorsand@yahoo.com&gt;</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2016-08-01</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=AntAngioCOOL</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.AntAngioCOOL</dc:identifier>
</oai_dc:dc>