Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/2407
Title: Two-stage support vector machines for protein structure and solvent prediction
Authors: Nguyen, Ngoc Minh
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Issue Date: 2005
Source: Nguyen, N. M. (2005). Two-stage support vector machines for protein structure and solvent prediction. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: 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.
URI: https://hdl.handle.net/10356/2407
DOI: 10.32657/10356/2407
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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