One model is fuzzy cluster analysis of gene expression data based on a cluster validity measure named Xie-Beni index.
一种模型是基于有效性测度谢白尼指数的基因表达数据的模糊聚类分析。
Currently, cluster methods are used most frequently among the methods applied to the analysis of gene expression data.
目前对基因表达数据进行分析的各种方法中，聚类分析方法应用得最多。
The cluster analysis of gene expression data is an important means for discovering gene functions and regular to mechanisms.
基因表达谱数据的聚类分析对于研究基因功能和基因调控机制有重要意义。
At present, transcription analysis of gene expression commonly USES a single housekeeping gene as control for normalization.
目前基因表达的转录分析多采用单一看家基因作为内参来校正目标基因的表达量。
The cluster analysis of gene expression data is an important means for discovering gene functions and regulatory mechanisms.
基因表达谱数据的聚类分析对于研究基因功能和基因调控机制有重要意义。
So they did a post-mortem analysis of gene expression in the brains of smokers, alcoholics and those who had done both during their lives.
于是，他们对吸烟者、酗酒者和在生前既饮酒又抽烟的人做了尸体检验，以研究他们的大脑所表达出来的基因。
The main application is in discovering new genes, analysis of gene expression, gene mutation, polymorphism and genetic sequence test.
主要应用于新基因发现、基因表达分析、基因突变及多态性分析、基因测序等。
Serial analysis of gene expression (SAGE) is a powerful technique that allows large-scale analysis of gene expression and identification of new genes.
是基因表达水平差异分析和大规模发现新基因的分子生物学技术。
Through support vector machine algorithms for gene expression data classification training, SVMs provide a effective way for analysis of gene expression data.
通过支持向量机训练算法对基因表达数据进行分类训练，为分析基因数据提供有效的手段。
Bioinformatic data of High Throughout Genomic Sequences (HTGS) and Serial analysis of Gene expression (SAGE) were used for analysis of chromosome localization and tissue expression.
以高通量基因组序列(HTGS)数据库及SAGE文库为基础，进行染色体定位及组织表达分析。
Gene analysis indicates it also affects the expression of genes involved in wound healing.
基因分析表明它对与伤口愈合相关基因的表达也有一定作用。
Methods Microarray analysis on human signal transduction associated proteins was applied to profile changes in gene expression of human ECV304 endothelial cells induced by low density lipoprotein.
方法利用低密度脂蛋白作用人血管内皮细胞系ecv304，通过基因芯片分析人信号传导相关蛋白的表达谱。
The features of gene expression are extracted by the wavelet multi-resolution analysis, the features are classified by the support vector machines and BP neural network methods.
采用小波多分辩率分析方法提取基因表达的特征，利用支持向量机和BP神经网络方法进行分类。
A novel clustering algorithm based on Bayesian model was introduced into the analysis of large-scale gene expression profiles.
在大规模基因表达谱的数据分析中引入了一种全新的基于贝叶斯模型的聚类算法。
The technology of expressed sequence tags (ESTs) was broadly applied in analysis of gene function and expression pattern.
表达序列标签）测序分析技术广泛应用于基因功能和表达模式的分析研究。
Along with the research and extensive application of DNA chip technology, gene expression data analysis have become a hotspot in life science field.
随着DNA芯片技术的广泛应用，基因表达数据分析已成为生命科学的研究热点。
Analysis of gene differential expression is a straight forward and efficient approach to study the molecular basis of many biological processes.
基因差异表达分析是研究许多生物学过程的分子基础的一条直接、有效的途径。
Then, the housekeeping gene was used to adjust the rest gene expression data in order to keep the correct rate of pre-analysis gene expression data.
再利用看家基因调整余下的基因表达数据，从而保证待分析的基因表达数据的正确率。
Methods: Gene chip and RT-PCR were used to study expression of CXCR4 mRNA in two cell lines and the CXCR4 surface expression was also examined by flow cytometry analysis.
方法：应用基因芯片、反转录PCR（RT-PCR）、流式细胞术等方法从分子和蛋白水平检测两种细胞系中CXCR4的表达情况。
We isolated the gene clones and preformed analysis of expression profiles of the genes under pathogen attack and development and tissues.
本文对这个基因簇进行了结构及进化树分析，并分别研究了这七个成员受病原菌侵染及发育和组织的表达特异性。
In Arabidopsis, gene expression studies and analysis of knock-out (KO) mutants have been instrumental in building an integrated view of disease resistance pathways.
拟南芥中，对敲除突变体的基因表达研究和分析有助于了解病害抗性路径的全貌。
Using this inducible system can be used for quantitative regulation of gene expression regulation and virulence gene function analysis and so on.
利用这种可诱导的调控系统可以用于定量调控基因表达以及进行毒性基因功能分析等方面的研究。
Objective to delineate the immune regulatory pathway in pathogenesis of systemic lupus erythematosus (SLE) by using gene expression profile analysis.
目的通过基因表达谱勾画系统性红斑狼疮(SLE)发病机制中可能的免疫调控通路。
Studies on mechanism of various diseases could be deepened with the progressing of differential gene expression analysis technique.
随着差异基因筛选技术的不断完善，对疾病的发生机制的研究也不断深入。
This paper focuses mainly on investigating and studying clustering analysis problems of high directional dimensional data , which includes gene expression data and text data .
本文针对高维数据的方向性及其聚类分析中出现的问题进行了研究。
The essential and initial problem of gene expression microarray data analysis is to identify differentially expressed genes (DEGs), under certain conditions.
特定条件下的差异表达基因筛选是科学家使用芯片的初衷，也是芯片数据分析中很重要的一种应用。
MOTIVATION: Gene expression analysis with microarrays has become one of the most widely used high-throughput methods for gathering genome-wide functional data.
动机：用微阵列进行基因表达分析已经成为收集全基因组功能数据的最广泛使用的高通量方法之一。
MOTIVATION: Gene expression analysis with microarrays has become one of the most widely used high-throughput methods for gathering genome-wide functional data.
动机：用微阵列进行基因表达分析已经成为收集全基因组功能数据的最广泛使用的高通量方法之一。
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