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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 趙坤茂,楊欣洲 | |
| dc.contributor.author | Yu-Jen Liang | en |
| dc.contributor.author | 梁佑任 | zh_TW |
| dc.date.accessioned | 2021-06-15T12:32:56Z | - |
| dc.date.available | 2017-08-24 | |
| dc.date.copyright | 2016-08-24 | |
| dc.date.issued | 2016 | |
| dc.date.submitted | 2016-08-02 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/50219 | - |
| dc.description.abstract | 透過分析成千上百的代謝產物，代謝體數據分析提供很好的途徑來瞭解代謝機制，然而，代謝體數據的品質問題與複雜的批次效果至關重要，必須仰賴適當的統計分析來妥善解決。本研究開發了一套代謝體研究的整合分析工具，包含從最上游的數據前處理乃至下游的關聯性分析的整套完整分析流程。我們所開發的軟體Statistical Metabolomics Analysis – An R Tool（SMART）可以分析不同格式的代謝體數據，視覺化地呈現各種類型的數據，執行波峰調整和註釋，進行樣本與波峰的品質管制，偵測批次效果，進行關聯性分析，並完成波峰識別。使用SMART進行抗高血壓藥物的藥物代謝體研究分析，結果顯示代謝物神經介肽N（neuromedin N）對於血管緊張素轉換酶抑製劑有顯著的相關（在校正了未知潛在群體效果的ANCOVA分析中，得到p值 = 1.56 × 10−4；在校正了隱藏結構效果的ANCOVA分析中，得到p值 = 1.02 × 10−4）。此內生性神經肽（neuropeptide）與神經降壓素（neurotensin）和神經介肽U（neuromedin U）呈現高度相關，而這些蛋白質均參與調節血壓和平滑肌收縮的機制。SMART軟體程式、使用者指南和範例資料均可由http://www.stat.sinica.edu.tw/hsinchou/metabolomics/SMART.htm下載。 | zh_TW |
| dc.description.abstract | Metabolomics data provide unprecedented opportunities to decipher metabolic mechanisms by analyzing hundreds to thousands of metabolites. Data quality concerns and complex batch effects in metabolomics must be appropriately addressed through statistical analysis. This study developed an integrated analysis tool for metabolomics studies to streamline the complete analysis flow from initial data preprocessing to downstream association analysis. We developed Statistical Metabolomics Analysis – An R Tool (SMART), which can analyze input files with different formats, visually represent various types of data features, implement peak alignment and annotation, conduct quality control for replicate samples and peaks, explore batch effects, perform association analysis, and accomplish peak identification. A pharmacometabolomics study of antihypertensive medication was conducted and data were analyzed using SMART. Neuromedin N was identified as a metabolite significantly associated with angiotensin-converting-enzyme inhibitors in our metabolome-wide association analysis (p = 1.56 × 10−4 in an analysis of covariance (ANCOVA) with an adjustment for unknown latent groups and p = 1.02 × 10−4 in an ANCOVA with an adjustment for hidden substructures). This endogenous neuropeptide is highly related to neurotensin and neuromedin U, which are involved in blood pressure regulation and smooth muscle contraction. The SMART software, a user guide, and example data can be downloaded from http://www.stat.sinica.edu.tw/hsinchou/metabolomics/SMART.htm. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T12:32:56Z (GMT). No. of bitstreams: 1 ntu-105-D96945014-1.pdf: 2373395 bytes, checksum: 41cccf3e3f592c031b460b9deefe3716 (MD5) Previous issue date: 2016 | en |
| dc.description.tableofcontents | 口試委員會審定書 i
Acknowledgment ii Abstract in English iii Abstract in Chinese iv Table of contents v List of tables vii List of figures viii Chapter 1 Introduction 1 1.1 Motivation 1 1.2 Background 1 Chapter 2 SMART description 7 2.1 Data import 9 2.2 Data visualization 9 2.3 Peak alignment (peak detection and RT alignment) and annotation 15 2.4 Data preprocessing 17 2.5 Quality control 18 2.5.1 Peak filtering 18 2.5.2 Sample filtering 18 2.6 Batch effect detection 23 2.7 Association analysis 25 2.8 Peak identification 28 Chapter 3 Antihypertensive pharmacometabolomics study 30 3.1 Description 30 3.2 Results 30 3.2.1 Data visualization 32 3.2.2 Peak alignment and annotation 35 3.2.3 Data preprocessing 35 3.2.4 Quality control 36 3.2.5 Batch effect detection 41 3.2.6 Association analysis 46 3.2.7 Peak identification 53 Chapter 4 Conclusion and discussion 55 References 60 | |
| dc.language.iso | en | |
| dc.subject | 關聯性分析 | zh_TW |
| dc.subject | 批次效果 | zh_TW |
| dc.subject | 品質管制 | zh_TW |
| dc.subject | 波峰調整 | zh_TW |
| dc.subject | 質譜儀 | zh_TW |
| dc.subject | 代謝體學 | zh_TW |
| dc.subject | SMART | zh_TW |
| dc.subject | 波峰識別 | zh_TW |
| dc.subject | 關聯性分析 | zh_TW |
| dc.subject | 批次效果 | zh_TW |
| dc.subject | 品質管制 | zh_TW |
| dc.subject | 波峰調整 | zh_TW |
| dc.subject | 質譜儀 | zh_TW |
| dc.subject | 代謝體學 | zh_TW |
| dc.subject | SMART | zh_TW |
| dc.subject | 波峰識別 | zh_TW |
| dc.subject | quality control | en |
| dc.subject | SMART | en |
| dc.subject | metabolomics | en |
| dc.subject | mass spectrometry | en |
| dc.subject | peak alignment | en |
| dc.subject | batch effect | en |
| dc.subject | association analysis | en |
| dc.subject | peak identification | en |
| dc.subject | SMART | en |
| dc.subject | metabolomics | en |
| dc.subject | mass spectrometry | en |
| dc.subject | peak alignment | en |
| dc.subject | quality control | en |
| dc.subject | batch effect | en |
| dc.subject | association analysis | en |
| dc.subject | peak identification | en |
| dc.title | 統計代謝體學研究 | zh_TW |
| dc.title | Statistical Metabolomics Study | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 104-2 | |
| dc.description.degree | 博士 | |
| dc.contributor.oralexamcommittee | 賴飛羆,傅楸善,歐陽彥正,張瑞峰 | |
| dc.subject.keyword | SMART,代謝體學,質譜儀,波峰調整,品質管制,批次效果,關聯性分析,波峰識別, | zh_TW |
| dc.subject.keyword | SMART,metabolomics,mass spectrometry,peak alignment,quality control,batch effect,association analysis,peak identification, | en |
| dc.relation.page | 67 | |
| dc.identifier.doi | 10.6342/NTU201601553 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2016-08-03 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 生醫電子與資訊學研究所 | zh_TW |
| 顯示於系所單位： | 生醫電子與資訊學研究所 | |
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