AntAngioCOOL 1.2

Anti-Angiogenic Peptide Prediction

Released Aug 1, 2016 by Javad Zahiri

This package cannot yet be used with Renjin it depends on other packages which are not available: RWeka 0.4-37 and caret 6.0-78


RWeka 0.4-37 caret 6.0-78 rpart 4.1-12 rJava

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.



View GitHub Mirror

Release History