Each tissue ribbon is then dropped into a test tube and its RNA purified for gene expression analysis.
然后每一个组织都被放入一个测试试管中，它们的RNA会被进一步提纯用作基因表达的相关研究。
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。
The gene expression analysis will be a valuable tool for future research, says Asa Abeliovich, a neurologist at Columbia University Medical Center in New York.
纽约哥伦比亚大学医学中心的神经学家，认为对于基因表达的分析将成为未来研究的有价值的工具。
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。
By the mean time, the technique have reported in the gene expression analysis, new gene discovery, gene mutation detection, SNP analysis, DNA re-sequence and diagnosis.
目前，该技术已用于基因表达谱分析、新基因发现、基因突变、基因多态性分析、药物筛选和基因测序及疾病的诊断。
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。
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。
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。
The process to identify such biosignatures is called gene expression profiling, and it's done using microarray analysis.
确定这个生物特征的过程就是所谓的基因表达，通过微阵列分析实现。
Global gene expression profiles were determined and compared between ethnic groups and between insulin-resistant and insulin-sensitive participants individually and using gene-set enrichment analysis.
测定其全基因表达谱，利用基因表达富集分析法比较不同种族之间、胰岛素抵抗和胰岛素敏感者之间的基因表达谱差异。
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。
Gene expression characteristics analysis is the research hotspot of microarray.
基因表达特征分析是基因芯片的研究热点。
This shows that single-cell analysis of gene expression is already feasible.
这表明，单细胞分析基因表达已经是可行的。
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。
DNA, complementary; cloning, molecular; sequence analysis; gene expression.
互补；克隆分子；序列分析；基因表达。
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。
DNA microarray has been applied to DNA sequencing, pharmaceuticals analysis, gene expression and so on.
DNA微集阵列已广泛用于DNA测序、药物分析、基因表达等研究领域。
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。
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。
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。
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 software integrates several gene expression profile analysis algorithms and maintains the extendibility by modularized design.
该软件集成了多种基因表达模式分析算法，并通过模块化设计保持了算法的可扩展性。
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。
Analysis of the samples revealed patterns of gene expression that differed between volunteers who eventually developed TB and those who remained healthy.
通过对样本的分析显示，患有结核病的和保持健康的不同志愿者基因表达模式大不相同。
There are lots of cluster methods applied to the analysis of gene expression data.
常用于基因表达数据分析的聚类方法有很多。
There are lots of cluster methods applied to the analysis of gene expression data.
常用于基因表达数据分析的聚类方法有很多。
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