Gene expression data

Research on Tumor Prediction Models Based on Gene Expression Data

基于基因表达数据的肿瘤预测模型研究

Research and Application of SVM in Classification of Gene Expression Data

SVM在基因表达数据分类中的研究和应用

Research on Gene Expression Data Based on Clustering / classification Technology

基因表达谱聚类/分类技术研究及展望

An Novel Method for Evaluation of Clustering Results for Gene Expression Data

基因表达数据聚类分析结果的评价方法研究

Research on Pattern Classification Methods Using Gene Expression Data

四种模式分类方法应用于基因表达谱分析的比较研究

The development of gene expression data analysis

基因表达数据分析

K-modes algorithm for gene expression data analysis based on information theory

基于信息论k-modes聚类法的基因表达数据分析

Algorithm of Gene Expression Data Classification and Its Application

基因表达数据分类算法及其应用研究

Data Mining for Tumor Gene Expression Data Based on Support Vector Machine

基于支持向量机的肿瘤基因数据挖掘

Mutual Information Estimation Research of Gene Expression Data Based on Bootstrap Method

基于Bootstrap方法的基因表达谱数据互信息估计研究

A Method for Extracting Knowledge from Tumor Gene Expression Data

一种肿瘤基因表达数据的知识提取方法

Review of Clustering Analysis of Gene Expression Data Based on Computational Intelligence

基于计算智能的基因表达数据聚类分析研究进展

Gene Expression Data Analysis Based on Evolution FCM Algorithm

基于进化FCM算法的基因表达数据分析

The Design and Implement of Gene Expression Data Analysis Software Based on Struts Structure

基于Struts的基因表达数据分析软件的设计与实现

Improved gene expression data clustering using a support vector domain description algorithm

支持向量数据描述的基因表达数据聚类方法

The Research of Gastric Cancer Feature Genes Selection Based on Gene Expression Data

基于基因表达数据的胃癌特征基因选取研究

This makes the results of gene expression data clustering more subjective .

这导致对基因表达数据进行处理时，得到的结果也具有很大的主观性。

A Combined Method Applied to the Classification of Microarray Gene Expression Data

混合法用于基因芯片数据的分类分析

The Application of Random Forests for the Classification of Gene Expression Data

基因表达数据判别分析的随机森林方法

Feature Selection Methods Study Based on Gene Expression Data and Amino Acids Sequences

基于基因表达谱数据和氨基酸序列的特征提取方法研究

Using fuzzy kernel discriminant analysis for tumor classification with gene expression data

基于模糊核判别分析的基因表达数据分析方法

Gene Expression Data Feature Selection Based on GA and Clustering

基于遗传算法及聚类的基因表达数据特征选择

An Improved Gene Expression Data Classification Method

一种改进的基因表达数据分类方法

We have also implemented the associated query function based on gene expression data .

在GRI系统现有查询服务的基础上，我们将基因表达信息查询服务与现有的基因调控信息查询服务有机地结合在一起，实现了基因调控信息和基因表达信息之间的关联查询。

Application Study of Gene Expression Data on Diagnosis of Tumor and Prediction of Gene Function

基因表达数据在肿瘤诊断、基因功能预测中的应用研究

The analysis and research on gene expression data is an important research area of bioinformatics .

基因表达数据的分析和研究是生物信息学中重要的研究课题。

It can fast and effectively finish clustering analysis on gene expression data .

它能够快速有效地聚类分析基因表达数据。

Missing value estimation for gene expression data based on Mahalanobis distance

基于马氏距离的缺失值填充算法

Different status of insulin sensitivity gene expression data processing based on SOM algorithm

基于SOM的不同胰岛素敏感状态下基因数据处理

The Research on Imputation Algorithm of Missing Values for Gene Expression Data

基因表达缺失数据填充算法研究