Two-stage support vector machines for protein structure and solvent prediction
Nguyen, Ngoc Minh
Date of Issue2005
School of Computer Engineering
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 information among the secondary structural elements or the relative solvent accessibilities and thereby improves the accuracies of the predictions.
DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Nanyang Technological University