DNA Microarray Expression(ME) Analysis of Xanthomonas oryzae pv. oryzae in Rice Leaves at Early Infection Stages Using Selective Bacterial Transcript Labeling with Genome-Directed Primers 应用GDPs转录物标记法进行水稻白叶枯病菌早期侵染表达谱分析
On the two real microarray expression datasets, the novel method is compared with several existing methods. 在两种不同类型的基因芯片表达数据上,将新算法与几种已知的算法进行了比较分析。
Study on Selection for Feature Gene Subset in Microarray Expression(ME) Profiles Based on a SVM and GA Hybrid Algorithm 基于SVM和GA混合算法的基因芯片特征基因子集选取研究
Establish a discriminant equation based on the glioma cDNA microarray expression data combined with statistical methods to predict and judge glioma samples. 3. 依据cDNA胶质瘤表达谱芯片数据结合统计学方法建立判别方程,对胶质瘤样本进行预测和判断。
However, few studies had been performed to focus on the changes of pathways in lung adenocarcinoma development using microarray expression profile. 但是,目前很少有表达谱芯片数据的研究着眼于肺腺癌发展过程中信号通路的改变。