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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.
Package details |
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Author | Babak Khorsand <khorsand@yahoo.com> |
Maintainer | Javad Zahiri <zahiri@modares.ac.ir> |
License | GPL-2 |
Version | 1.2 |
Package repository | View on CRAN |
Installation |
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