請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59754完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 洪弘(Hung Hung) | |
| dc.contributor.author | Guan-Ming Jiang | en |
| dc.contributor.author | 姜冠名 | zh_TW |
| dc.date.accessioned | 2021-06-16T09:36:19Z | - |
| dc.date.available | 2022-02-24 | |
| dc.date.copyright | 2017-02-24 | |
| dc.date.issued | 2017 | |
| dc.date.submitted | 2017-02-10 | |
| dc.identifier.citation | [1] Fijisawa, H. and Eguchi, S. (2008). 'Robust parameter estimation with a small bias against heavy contamination.' Journal of Multivariate Analysis, 99, 2053-2081
[2] D. Risso, J. Ngai, Terence P. Speed, and S. Dudoit. (2014). 'Normalization of RNA-seq data using factor analysis of control genes or samples.' Nature Biotechnology, 32,896-902 [3] M. N. H. Mollah, S. Eguchi, and M. Minami. (2007). 'Roust Prewhitening for ICA by Minimizing -Divergence and Its Application to FastICA.' Neural Processing Letters,25:91 [4] Johann A. Gagnon-Bartsch, and Terence P. Speed. (2012). 'Using control genes to correct for unwanted variation in microarray data.' Biostatistics, 13(3):539-552. [5] Johann A. Gagnon-Bartsch, Laurent Jacob, and Terence P. Speed. (2013). 'Removing unwanted variation for high dimensional data with negative controls.' Department of Statistics, University of California, Berkeley. [6] Eisenberg, E. and Levanon,E. Y. (2003). 'Human housekeeping genes are compact.' Trends in Genetics vol.19 No.7 [7] Bolstad, B., Collin, F., Brettschneider, J., Simpson, K., Cope, L., Irizarry, R. and Speed, T. P. (2005). 'Quality assessment of A ymetrix Genechip data.' Bioinformatics and Computational Biology Solution Using R and Bioconductor. New York: Springer, pp.33-4728 [8] Brettschneider, J., Collin, F., Bolstad, B. M. and Speed, T. P. (2008). 'Quality assessment for short oligonucleotide microarray data.' Technometrics 50, 241-264 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59754 | - |
| dc.description.abstract | 基因表現量分析結果時常會遭遇樣本批次效果以及一些非生物性的變異所影響。過去有許多方法為了校正在分析技術上所造成的影響，因此利用非生物相關之基因藉著因素分析的方法估計出多餘變異來調整估計值。然而大多數的方法並沒有穩健的特性，因此易受離群值的影響而造成估計上的偏誤，其結果難以偵測出具有差異表現量的基因。在本篇文章中，我們提出一個具有穩健特性的方法來解決離群值造成估計上偏誤的問題，我們稱之為γ-RUV。同時，藉由GSE2164的資料來比較我們的方法以及過往之方法的差異。最後，我們可以推論出γ-RUV 在有離群值的情形之下，其分析結果之表現最好。 | zh_TW |
| dc.description.abstract | Microarray expression studies have a trouble in the problem of batch effects and other nonbiological variation. Many methods have been proposed to adjust for nuisance technical effect by factor analysis on suitable sets of control genes. These methods, however, do not have the property of robustness. To be more specific , outliers have strong impacts on the detection of differentially expressed genes. In this article, we propose a new method,γ-RUV, to overcome this problem. Using GSE2164 data, we compare the performance of γ-RUV with other adjusted methods such as RUV2, and RUV4. The performance of γ-RUV is the best in all RUV methods in the presence of outliers. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T09:36:19Z (GMT). No. of bitstreams: 1 ntu-106-R03849015-1.pdf: 1364602 bytes, checksum: 0ddac83d6b52b98866110e1482ac57e2 (MD5) Previous issue date: 2017 | en |
| dc.description.tableofcontents | Abstract i
1 Introduction 1 1.1 A Statistical Model for Unwanted Variation 1 1.2 Negative Control Genes 3 1.3 Reviews of RUV2 and RUV4 4 1.4 Outliers 6 2 Method : γ-RUV 8 2.1 Review of r-Divergence and the Minimum r-Divergence Estimation under Normal Model 8 2.2 Robust γ-RUV 9 2.3 Selection of r and k 10 3 Simulation Study 12 3.1 Synthetic Simulation Study 12 3.1.1 Simulation setting 12 3.1.2 Simulation results 13 3.2 GSE2164 Data Simulation 17 4 Data Analysis 19 4.1 Gender Study 19 4.2 Results 20 5 Conclusions 25 Appendices 26 A Data Preparation 26 Reference 28 | |
| dc.language.iso | en | |
| dc.subject | 多餘變異 | zh_TW |
| dc.subject | 批次效果 | zh_TW |
| dc.subject | 負控制基因 | zh_TW |
| dc.subject | 離群值 | zh_TW |
| dc.subject | γ-散度 | zh_TW |
| dc.subject | 多餘變異 | zh_TW |
| dc.subject | 批次效果 | zh_TW |
| dc.subject | 負控制基因 | zh_TW |
| dc.subject | 離群值 | zh_TW |
| dc.subject | γ-散度 | zh_TW |
| dc.subject | Batch effects | en |
| dc.subject | Unwanted variation | en |
| dc.subject | Batch effects | en |
| dc.subject | Negative control genes | en |
| dc.subject | Outliers | en |
| dc.subject | γ-divergence | en |
| dc.subject | Outliers | en |
| dc.subject | Negative control genes | en |
| dc.subject | Unwanted variation | en |
| dc.subject | γ-divergence | en |
| dc.title | 利用γ-散度提出穩健移除多餘變異之方法 | zh_TW |
| dc.title | A Robust γ-divergence Based Method to Removing Unwanted Variation | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 105-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 蕭朱杏(Chuhsing Kate Hsiao),郭柏秀(Po Hsiu Kuo) | |
| dc.subject.keyword | 多餘變異,批次效果,負控制基因,離群值,γ-散度, | zh_TW |
| dc.subject.keyword | Unwanted variation,Batch effects,Negative control genes,Outliers,γ-divergence, | en |
| dc.relation.page | 29 | |
| dc.identifier.doi | 10.6342/NTU201700484 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2017-02-13 | |
| dc.contributor.author-college | 公共衛生學院 | zh_TW |
| dc.contributor.author-dept | 流行病學與預防醫學研究所 | zh_TW |
| 顯示於系所單位： | 流行病學與預防醫學研究所 | |
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