SVM-HUSTLE – Semi-supervised Machine Learning approach for Pairwise Protein Remote Homology Detection

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

 SVM-HUSTLE 

:: 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.