Statistical Analysis of the Gene Expression for Non-synchronized Cell Cycles of Human Glioma Cells after Gamma Irradiation by cDNA Microarray
碩士 === 國立交通大學 === 統計所 === 90 === Microarray is a high throughput technique. We can observe a large number of gene expressions by this new technique in a short time. In order to understand the gene expression profiles in different phases of cell cycles of human glioma cells after gamma i...
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ndltd-TW-090NCTU03370182016-06-27T16:08:59Z http://ndltd.ncl.edu.tw/handle/75330224901137425536 Statistical Analysis of the Gene Expression for Non-synchronized Cell Cycles of Human Glioma Cells after Gamma Irradiation by cDNA Microarray 運用統計方法與微陣列技術探討放射線照射後之未同步化腦腫瘤細胞內基因表現 戴郁佳 碩士 國立交通大學 統計所 90 Microarray is a high throughput technique. We can observe a large number of gene expressions by this new technique in a short time. In order to understand the gene expression profiles in different phases of cell cycles of human glioma cells after gamma irradiation, microarray experiments are performed in Professor Ngo’s laboratory at National Yang-Ming University (Ngo, Chan, Chang, 2001). The experiments are non-synchronized to imitate the in vivo expression pattern. Furthermore, these will provide fast and economic approaches to screen the gene functions. However, these data bring us challenges in analysis. This study is an attempt to separate the effect of non-synchronization from the genuine cell cycle function by statistical methods for microarray data with cell proportions measured by flow cytometry. 盧鴻興 2002 學位論文 ; thesis 63 en_US |
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碩士 === 國立交通大學 === 統計所 === 90 === Microarray is a high throughput technique. We can observe a large number of gene expressions by this new technique in a short time. In order to understand the gene expression profiles in different phases of cell cycles of human glioma cells after gamma irradiation, microarray experiments are performed in Professor Ngo’s laboratory at National Yang-Ming University (Ngo, Chan, Chang, 2001). The experiments are non-synchronized to imitate the in vivo expression pattern. Furthermore, these will provide fast and economic approaches to screen the gene functions. However, these data bring us challenges in analysis. This study is an attempt to separate the effect of non-synchronization from the genuine cell cycle function by statistical methods for microarray data with cell proportions measured by flow cytometry.
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盧鴻興 |
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盧鴻興 戴郁佳 |
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戴郁佳 |
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戴郁佳 Statistical Analysis of the Gene Expression for Non-synchronized Cell Cycles of Human Glioma Cells after Gamma Irradiation by cDNA Microarray |
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戴郁佳 |
title |
Statistical Analysis of the Gene Expression for Non-synchronized Cell Cycles of Human Glioma Cells after Gamma Irradiation by cDNA Microarray |
title_short |
Statistical Analysis of the Gene Expression for Non-synchronized Cell Cycles of Human Glioma Cells after Gamma Irradiation by cDNA Microarray |
title_full |
Statistical Analysis of the Gene Expression for Non-synchronized Cell Cycles of Human Glioma Cells after Gamma Irradiation by cDNA Microarray |
title_fullStr |
Statistical Analysis of the Gene Expression for Non-synchronized Cell Cycles of Human Glioma Cells after Gamma Irradiation by cDNA Microarray |
title_full_unstemmed |
Statistical Analysis of the Gene Expression for Non-synchronized Cell Cycles of Human Glioma Cells after Gamma Irradiation by cDNA Microarray |
title_sort |
statistical analysis of the gene expression for non-synchronized cell cycles of human glioma cells after gamma irradiation by cdna microarray |
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2002 |
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http://ndltd.ncl.edu.tw/handle/75330224901137425536 |
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AT dàiyùjiā statisticalanalysisofthegeneexpressionfornonsynchronizedcellcyclesofhumangliomacellsaftergammairradiationbycdnamicroarray AT dàiyùjiā yùnyòngtǒngjìfāngfǎyǔwēizhènlièjìshùtàntǎofàngshèxiànzhàoshèhòuzhīwèitóngbùhuànǎozhǒngliúxìbāonèijīyīnbiǎoxiàn |
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1718324416157319168 |