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Expanding instrumental capabilities of MS-based proteomics : advanced LC and MS methods for in-depth analysis in challenging applications

机译：扩展基于MS的蛋白质组学的仪器功能：先进的LC和MS方法，可在具有挑战性的应用中进行深入分析

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Waanders L.F.;
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年度 2009
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1. Application of survival analysis methodology to the quantitative analysis of LC-MS proteomics data. [J] . Tekwe CD, Carroll RJ, Dabney AR Bioinformatics . 2012,第15期

机译：生存分析方法在LC-MS蛋白质组学数据定量分析中的应用。
2. Application of survival analysis methodology to the quantitative analysis of LC-MS proteomics data [J] . Carmen D. Tekwe* Raymond J. Carroll and Alan R. Dabney Bioinformatics . 2012,第15期

机译：生存分析方法在LC-MS蛋白质组学数据定量分析中的应用
3. Development of an LC-MS/MS method for quantitative analysis of Chlorogenic acid in human plasma and its application to a pharmacokinetic study in Chinese patients with advanced solid tumor [J] . Journal of Pharmaceutical and Biomedical Analysis: An International Journal on All Drug-Related Topics in Pharmaceutical, Biomedical and Clinical Analysis . 2020,第期

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4. Application of survival analysis methodology to the quantitative analysis of LC-MS proteomics data [C] . Tekwe Carmen D., Dabney Alan R., Carroll Raymond J. Genomic Signal Processing and Statistics (GENSIPS), 2011 IEEE International Workshop on . 2011

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5. LC/MS-based targeted and global metabolomic methodologies and their application to biomarker discovery. [D] . Cerutti, Estela Soledad. 2009

机译：基于LC / MS的靶向和全局代谢组学方法学及其在生物标记物发现中的应用。
6. Application of survival analysis methodology to the quantitative analysis of LC-MS proteomics data [O] . Carmen D. Tekwe, Raymond J. Carroll, Alan R. Dabney -1

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7. LC-MS/MS-Based Quantitative Proteomics Analysis of Different Stages of Non-Small-Cell Lung Cancer [O] . Murong Zhou, Yi Kong, Xiaobin Wang, 2021

机译：基于LC-MS / MS的非小细胞肺癌不同阶段的定量蛋白质组学分析
8. Analysis of Chemical Warfare Agents: General Overview, LC-MS Review, In- House LC-ESI-MS Methods and Open Literature Bibliography [R] . D'Agostino, P. A. , Chenier, C. L. 2006

机译：化学战剂的分析：概述，LC-ms评论，内部LC-EsI-ms方法和开放文献参考书目

Expanding instrumental capabilities of MS-based proteomics : advanced LC and MS methods for in-depth analysis in challenging applications

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