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.
|Author||Babak Khorsand <firstname.lastname@example.org>|
|Date of publication||2016-08-01 14:01:06|
|Maintainer||Javad Zahiri <email@example.com>|
|Package repository||View on CRAN|
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