Several classification methods based on DNA gene expression microarray data are introduced in this paper.
介绍了目前几种基于DNA微阵列基因表达数据的分类方法。
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。
To assess gene expression in each small bit of tissue, researchers expose its RNA to a gene chip, or DNA microarray.
为了评价每小片组织中的基因的表达情况，研究人员将它的RNA暴露给一个基因芯片，或者DNA阵列。
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 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。
Conclusion: cDNA microarray found the tumor specific gene expression spectrum in gliomas.
结论：基因芯片发现了胶质瘤的异常基因表达谱。
With the extensive applications of DNA microarray technology, huge amounts of gene expression data have been generated.
随着基因芯片技术的广泛应用，产生了海量的基因表达数据。
CONCLUSION: cDNA microarray can be used to screen diversified gene expression related to injury under ischemia and anoxia, which brings some new clues for studying the mechanism of IECs injury.
结论：应用基因芯片技术筛选了与IEC缺血缺氧损伤密切相关的差异表达基因，为阐明这方面的机制提供了新的线索。
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.
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。
Methods The expression of TUSC3 gene in 20 cases of pancreatic cancer and 6 cases of normal pancreas were detected by oligonucleotide microarray and real-time quantitative PCR.
方法利用寡核苷酸基因芯片技术和实时定量pcr技术检测20例胰腺癌组织和6例正常胰腺组织中TUSC3基因的表达。
Objective To investigate the gene expression profiles in lung adenocarcinoma (LA), tumor adjacent tissue (TAT) and fetal lung tissue (FLT) by cDNA microarray technique.
目的利用基因芯片技术研究肺腺癌组织、癌旁组织及胚胎肺组织中的基因表达差异。
Methods: Microarray technique was used for examination of the gene expression profiles in 4 cases of cold syndrome patient and 6 normal persons in a same family.
方法：应用基因芯片技术对同一家系中的4例虚寒证患者与6名正常人进行基因表达谱检测。
Objective To compare the gene expression status of NB4 cells before and after arsenic sulfide treatment by cDNA microarray.
目的利用基因表达谱芯片对NB 4细胞在硫化砷作用前后基因表达的差异性进行比较。
Objective to investigate the effect of the total saponin of Panax ginseng (TSPG) on gene expression profile of K562 cells using microarray technique.
目的运用基因芯片技术研究人参总皂甙(TSPG)作用后K 562细胞基因表达谱的变化。
Objective To in ve stigate the difference of immuno-related gene expressions in T lymphocyte line (HUT78) incubated with melatonin by cDNA microarray of gene expression profile.
目的利用基因表达谱芯片研究T淋巴细胞株（HUT78）在褪黑素作用后免疫相关基因表达的差异性。
RNA profiling using a rice (Oryza sativa cv Nipponbare) oligonucleotide microarray was used to monitor gene expression in de-embryonated rice grains.
利用水稻寡核苷酸芯片检测了去胚水稻种子的基因表达。
The problem of feature gene selection and tumor samples classification of microarray gene expression data is one of challenges of gene microarray technology.
基因表达数据的特征基因选取和肿瘤样本分类问题是基因微阵列技术的挑战性课题之一。
We describe the basic design of a microarray gene expression database to help microarray users and their informatics teams to set up their information services.
我们描述了微阵列基因表达数据库的基本设计，以帮助微阵列用户和他们的信息学小组来设置他们的信息服务。
Study of the changes of gene expression during the process of liver fibrosis by cDNA microarray;
应用微矩阵表达谱基因芯片筛选食管癌新的相关基因。
Furthermore, microarray was used for studying the change of gene expression profiles of hepatocyte in addition of SBP1.
此外，我们还应用基因芯片技术研究了SBP对肝细胞基因表达谱的影响。
Objective to observe the altered gene expression of ECV304 cell after treated with endostatin (es) using cDNA microarray, and to investigate its molecular mechanism.
目的观察人脐静脉内皮细胞株(ECV304细胞)在内皮抑素(es)作用前后基因表达谱的变化，并探讨其作用的分子机制。
Objective To observe the differential gene expression in human nasopharyngeal carcinoma (NPC) cell line with different radiosensitivity by cDNA microarray analysis.
目的筛选同一来源放射敏感性不同鼻咽癌细胞基因差异表达，探讨鼻咽癌放射抗拒机理。
Microarray experiments are providing unprecedented quantities of genome-wide data on gene-expression patterns.
微阵列实验的全基因组基因表达模式的数据提供了前所未有的数量。
Microarray experiments are providing unprecedented quantities of genome-wide data on gene-expression patterns.
微阵列实验的全基因组基因表达模式的数据提供了前所未有的数量。
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