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: 2026-10-12 23:12:34 UTC; root
Config/pak/sysreqs: make default-jdk libicu-dev
Repository: https://cranhaven.r-universe.dev
Date/Publication: 2026-10-12 08:02:00 UTC
RemoteUrl: https://github.com/cranhaven/cranhaven.r-universe.dev
RemoteRef: package/AntAngioCOOL
RemoteSha: 25611c2a965e9cad662497ed3308c20479cf3c45
RemoteSubdir: AntAngioCOOL