J4 ›› 2011, Vol. 49 ›› Issue (06): 1101-1104.

Previous Articles     Next Articles

Disease Resistance Related Gene Screening inOryza sativa Using SVMRFE

FU Yuan1, WANG Yan1,2, ZHOU You1, ZHANG Fan1, WANG Yuxin1, LIANG Yanchun1   

  1. 1. College of Computer Science and Technology, Jilin University, Changchun 130012, China;2. College of Mathematics, Jilin University, Changchun 130012, China
  • Received:2011-02-26 Online:2011-11-26 Published:2011-11-28
  • Contact: LIANG Yanchun E-mail:ycliang@jlu.edu.cn

Abstract:

An improved support vector machine recursive feature extraction (SVM-RFE) algorithm was used to screen the disease resistance genes. In the 20 important genes, we found that 3 of them have strong relation to the disease resistance as reported and 2 of them have relation to the stress response. It shows that this method can find out which genes could impact the rice growth status (normal/disease). It might provide a guide on finding other unknown rice disease resistance/sensibility genes in biology.

Key words: support vector machine recursive feature elimination (SVM\, RFE); gene screening, rice disease resistance

CLC Number: 

  • TP39