关键词: 回归特征消去支持向量机； 基因筛选； 水稻抗病

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