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.

AuthorBabak Khorsand <khorsand@yahoo.com>
Date of publication2016-08-01 14:01:06
MaintainerJavad Zahiri <zahiri@modares.ac.ir>
LicenseGPL-2
Version1.2

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Files in this package

AntAngioCOOL
AntAngioCOOL/NAMESPACE
AntAngioCOOL/R
AntAngioCOOL/R/AntAngiCOOL.R
AntAngioCOOL/R/sysdata.rda
AntAngioCOOL/MD5
AntAngioCOOL/DESCRIPTION
AntAngioCOOL/man
AntAngioCOOL/man/AntAngioCOOL.Rd

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