AntAngioCOOL (1.2)

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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.

Maintainer: Javad Zahiri
Author(s): Babak Khorsand <>

License: GPL-2

Uses: caret, rJava, rpart, RWeka

Released about 3 years ago.



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