DocumentCode
2871477
Title
Breeding Value Estimate Based on Support Vector Machine
Author
Shibao Hong ; Yaguang Hu ; Shanhong Wan ; Defu Zhang
Author_Institution
Dept. of Comput. Sci., Xiamen Univ., Xiamen, China
Volume
2
fYear
2012
fDate
28-29 Oct. 2012
Firstpage
111
Lastpage
114
Abstract
Breeding value is the sum of additive effects of all the genes, which has important effect on breeding. Statistical methods are often used traditionally to estimate breeding value. This paper uses support vector regression machine to estimate breeding value, and two feature-selection methods are developed to preprocess the data. the proposed algorithm is compared with statistical methods in other literatures, its performance is verified.
Keywords
bioinformatics; regression analysis; support vector machines; breeding value estimation; feature-selection methods; statistical methods; support vector regression machine; Bioinformatics; Data mining; Estimation; Machine learning; Prediction algorithms; Support vector machines; bioinformatics; estimate breeding value; feature selection; predict; support vector machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-2646-9
Type
conf
DOI
10.1109/ISCID.2012.180
Filename
6405579
Link To Document