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
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;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.180
