Support vector machines for predicting the specificity of GaINAc-transferase

被引：66
作者：
Cai, YD
Liu, XJ
Xu, XB
Chou, KC
机构：
[1] Chinese Acad Sci, Shanghai Res Ctr Biotechnol, Shanghai 200233, Peoples R China
[2] Univ Edinburgh, Inst Cell Anim & Populat Biol, Edinburgh EH9 3JT, Midlothian, Scotland
[3] Univ Wales Coll Cardiff, Coll Cardiff, Dept Comp Sci, Cardiff CF2 3XF, S Glam, Wales
[4] Upjohn Co, Upjohn Labs, Comp Aided Drug Discovery, Kalamazoo, MI 49001 USA
来源：
PEPTIDES | 2002年 / 23卷 / 01期
关键词：
Support Vector Machines; GalNAc-transferase; self-consistency; jackknife test;
D O I：
10.1016/S0196-9781(01)00597-6
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
Support Vector Machines (SVMs) which is one kind of learning machines, was applied to predict the specificity of GalNAc-transferase. The examination for the self-consistency and the jackknife test of the SVMs method were tested for the training dataset (305 oligopeptides), the correct rate of self-consistency and jackknife test reaches 100%, and 84.9%, respectively. Furthermore, the prediction of the independent testing dataset (30 oligopeptides) was tested, the rate reaches 76.67%. (C) 2002 Elsevier Science Inc. All rights reserved.
引用
收藏
页码：205 / 208
页数：4
相关论文
共 13 条
12