Prediction of protein subcellular locations using support vector machines

被引：0
|
作者：
Li, NN [1 ]
Niu, XH
Shi, F
Li, XY
机构：
[1] Huazhong Agr Univ, Sch Sci, Wuhan, Peoples R China
[2] Civil Aviat Univ China, Coll Sci, Tianjin, Peoples R China
来源：
ADVANCES IN NATURAL COMPUTATION, PT 1, PROCEEDINGS | 2005年 / 3610卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper,we constructed a data set of rice proteins with known locations from SWISS-PROT,using the Support Vector Machine to predicte the type of a given rice protein by incorporating sequence information with physics chemistry property of amino acid. Results are assessed through 5-fold cross-validation tests.
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页码：1047 / 1051
页数：5
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