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.


Reference manual

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1.2 by Javad Zahiri, 5 years ago

Browse source code at

Authors: Babak Khorsand <[email protected]>

Documentation:   PDF Manual  

GPL-2 license

Depends on caret, rJava, RWeka, rpart

See at CRAN