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。
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.
结果基因芯片分析显示，HGC27细胞的64对核修复相关基因中，12对基因表达水平下调至0.5以下，6对基因表达水平上调至2倍以上。
Results The cDNA microarray results indicated that 12 out of 64 DNA repair related genes in HGC27 cells were down-regulated (inferior to 0.5 fold) and 6 genes was up-regulated (superior to 2 folds).
方法：采用文献分析方法，回顾与分析基因芯片在生物学和医学领域中的应用现状及有关经脉脏腑相关研究成果。
Methods Adopt literature analytic method, review and analyze current state of application of gene chip in biology and medicine, and achievements in studies of channel-viscera correlativity.
基因芯片技术是近几年出现的一种基因表达分析技术。
The gene chip is that a kind of gene expression analyses technology appearing in recent years.
在基因芯片实验中，数据缺失客观存在，并在一定程度上影响芯片数据后续分析结果的准确性。
There is missing value in microarray experiments and it will affect the stability and precision of the expression data analysis.
在基因芯片实验中，数据缺失客观存在，并且在一定程度上会影响芯片数据后续分析结果的准确性。
In microarray experiments, the missing value does exist and somewhat affect the stability and precision of the expression data analysis.
基因芯片的杂交、洗涤、检测与分析。
Then the gene chip was hybridized, washed, detected and analyzed.
应用SPSS15.0统计软件对基因芯片数据进行统计分析。
Data in gene chip was analyzed by statistical software SPSS15.0.
基因表达特征分析是基因芯片的研究热点。
Gene expression characteristics analysis is the research hotspot of microarray.
基因芯片技术是近年来出现的分子生物学与微电子技术相结合的最新DNA分析检测技术。
Gene chip technology is the latest DNA analysis and examining technology which combined molecular biology with microelectronics.
对基因芯片荧光图像进行网格定位是进行芯片分析的前提与关键。
Automatic gene chip image grid localization is an essential task for gene chip image analysis.
最后，在对基因芯片的数学分析方法进行了研究后，运用其中的手工分类法对本次实验数据进行了分析，对实验结果进行了可靠性分析。
Finally, after studying the mathematical methods of anglicizing gene chip, experimental data were analyzed by using manual classification method. The reliability of experimental result was analyzed.
基因芯片技术是一种高通量的研究手段，可以在同一时刻对成千上万个基因的表达情况进行分析，形成完整的细胞基因表达谱。
DNA microarray technology is a high throughout method that can analyze the expression of thousands of genes at the same time to form a complete cellular gene expression profile.
在本论文中，主要研究基因芯片图像的分析和数据处理，从而提取出基因芯片的杂交反应信号点的亮度信息，获得有用的生物信息。
In this paper, we study mainly the methods of Gene image analysis and data processing. It can extract the hybridizing intensity and obtain the useful biological information.
然后结合基因芯片数字图像的特点，给出了图像信号点分析的基本步骤。
Combining with the traits of Gene-chip image, we provide the basic steps to analysis signal points in a image.
基因选择是基因芯片数据分析中的一个重要问题。
Gene selection is a very important problem in microarray data analysis and has critical implications for the discovery of genes related to serious diseases.
本文通过分析基因芯片的图象特征，提出了基于变形模板技术的基因芯片杂交样点自动识别方法。
In this paper, based on the recognized microarray image features, an automatic spot identification method using the deformable template technique is proposed.
我们对部分细胞周期、细胞凋亡、细胞应激与炎症反应相关基因进行了分析并用实时荧光定量pcr进行了验证，证实了基因芯片结果的可靠性。
We analyze some genes including cell cycle, apoptosis, stress and inflammation, which are confirmed by the real time RT-PCR, and the results are corresponded to that of cDNA microarray.
基因芯片技术是一种全新微量分析技术，目前已经成为研究的热点之一。
As a new micro-analysis technology, DNA chip has became one of research hot spots.
利用基因芯片，对这些基因在生殖生长14个阶段、营养生长5个阶段以及受冷胁迫、盐胁迫和干旱胁迫时的表达谱进行了分析。
We also present microarray-based expression profiling of these genes during 14 stages of reproductive and 5 stages of vegetative development and in response to cold, salt and dehydration stress.
基因芯片检测结果与部分原位杂交结果进行比较并分析。
The results were compared with that of in-situ hybridization (ISH).
再经生物信息学方法分析，基因芯片杂交分析，结果证实了该序列对于白色念珠菌的特异性。
Biological informatics and gene chip hybrid analysis proves the specificity of the sequence to candida albicans.
摘要：基因芯片技术是近几年出现的一种基因表达分析技术。
Absrtact: The gene chip is that a kind of gene expression analyses technology appearing in recent years.
本文尝试利用大规模基因芯片数据分析对中医寒热证机理进行了初步探索。
We try to explore the method for explaining the mechanism of Cold - and Hot - ZHENG based on statistical analysis of microarray data.
利用基因芯片对其RNA进行分析，发现大量的基因转录发生改变，包括许多其他部位肿瘤中调节异常的情况也有发现。
RNA was analyzed using oligonucleotide microarrays, and a wide range of transcripts with altered expression identified, including many dysregulated in carcinomas arising at other sites.
为了整合不同基因芯片数据集的分析结果从而得出可靠的结论，本文提出了一套基于基因集的基因芯片数据分析方法。
In order to integrate results from individual microarray analysis to give a reliable conclusion, we propose a series of gene-set-based statistical methods.
然而单方的基因芯片实验总是会受到样本量有限，重复次数少的限制，使得分析结果说服力不强。
However, individual microarray experiments are often restricted by the amount of samples and lack of repeats, so the obtained results are correspondingly short of conviction.
空间相干的缺陷和图像处理有许多潜在影响的下游基因芯片数据分析所有基因芯片都在一定程度上的影响。
All GeneChips are affected to some extent by spatially coherent defects and image processing has a number of potential impacts on the downstream analysis of GeneChip data.
基因芯片技术是一种全新微量分析技术，目前已经成为研究的热点之一。
The present application and prospect of DNA chip technology in new veterinary medicine development;
多种统计学方法已被用来分析类型各异的基因芯片数据。
Many statistical methods have been established to analyze these different kinds of microarray datasets.
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