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.


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Reference manual

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install.packages("AntAngioCOOL")

1.2 by Javad Zahiri, 5 years ago


Browse source code at https://github.com/cran/AntAngioCOOL


Authors: Babak Khorsand <[email protected]>


Documentation:   PDF Manual  


GPL-2 license


Depends on caret, rJava, RWeka, rpart


See at CRAN