Sequence-based prediction of strand pairing and pairing orientation using Support Vector Machines

碩士 === 國立陽明大學 === 生物化學研究所 === 92 === In this thesis, an approach to predictβ-strand pairing and pairing orientation is proposed. Support Vector Machines (SVM) is used with a representative subset of Protein Data Bank (PDB) to make a 3-state prediction and achieves an overall prediction accuracy of 7...

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Bibliographic Details
Main Authors: Szu-Chin Fu, 傅思縉
Other Authors: Ming-Jing Hwang
Format: Others
Language:en_US
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/37580858268478813465