Two-stage support vector machines for protein structure and solvent prediction
We propose Two-Stage Support Vector Machines (TSSVM) for the prediction of structural properties of amino acid residues, namely, relative solvent accessibilities and protein secondary structure elements. The second stage of TSSVM extends the classical SVM approach to capture the contextual informati...
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| Format: | Thesis |
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2008
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| Online Access: | https://hdl.handle.net/10356/2407 |