...键词:基因微阵列; 基因分类; 最小二乘; 隶属度函数; 模糊支持向量机 [gap=1153]Key words:gene microarray; gene classification; least squares; membership function; fuzzy support vector machine ..
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S gene classification S基因分型
Classification of Gene Mutation 基因突变的分类
Functional classification gene array 功能分类基因芯片
gene datasets classification 基因数据集分类
functional classification gene 功能分类基因
Gene function and classification 基因功能及类别
gene expression data classification 基因表达数据分类
At the same time, the algorithm for gene classification based on support vector machine is schemed. The experimental results show that the proposed method can not only improve accuracy, but also reduce training data.
同时,将支持向量机用于基因分类,实验表明该方法不仅提高了预测精度,而且降低了训练所需的数据。
参考来源 - 基于信号处理理论和方法的基因预测研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The gene linear profile model, composed of model profiles and coefficients, is obtained by ica from gene expression data, so gene classification based on ica is presented.
利用ICA对基因微阵列表达谱数据进行分解获得由基因模型谱和对应系数构成的线性谱模型，并在此基础上进行基因分类。
There are multi -scale feature gene expression, the maximum classification rate is 98.61%, with stable results.
基因表达具有明显的多尺度特征，分类率最大达到98.61%，结果稳定。
Objective Discuss the condition and the effect of SVM in the classification of gene expression data.
目的探讨支持向量机在基因表达数据分类研究中的应用条件和效果。
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