SVM-HUSTLE
:: DESCRIPTION
SVM-HUSTLE is a Support Vector Machine (SVM)-based tool to detect homology using semi-supervised iterative learning that identifies significantly more remote homologs than current state-of-the-art sequence or cluster-based methods.
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::DEVELOPER
Systems Biology at PNNL
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux
:: DOWNLOAD
:: MORE INFORMATION
Citation
Bioinformatics. 2008 Mar 15;24(6):783-90. doi: 10.1093/bioinformatics/btn028.
SVM-HUSTLE–an iterative semi-supervised machine learning approach for pairwise protein remote homology detection.
Shah AR, Oehmen CS, Webb-Robertson BJ.