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Titlebook: Clinical Proteomics; Methods and Protocol Antonia Vlahou Book 2008 Humana Press 2008 2D electrophoresis.Clinical proteomics.Computational b

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發(fā)表于 2025-3-27 00:53:12 | 只看該作者
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Methods in Molecular Biologyhttp://image.papertrans.cn/c/image/228187.jpg
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發(fā)表于 2025-3-27 08:41:42 | 只看該作者
https://doi.org/10.1007/978-0-387-78608-7correlate tissue morphology with molecular findings. In recent years, the advent of the laser capture microscope, a tool ideally designed for pathologists, has tremendously facilitated the efficiency of collecting tissue targets for molecular analysis.
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發(fā)表于 2025-3-27 09:38:35 | 只看該作者
https://doi.org/10.1007/978-1-84996-420-3ration of extracted ion chromatograms. Additionally, we describe methods for transformation and normalization of the quantitative peptide levels in multiplexed measurements to improve precision for statistical analysis. Lastly, we outline how the described methods can be used to design and power biomarker discovery studies.
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發(fā)表于 2025-3-27 15:17:02 | 只看該作者
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發(fā)表于 2025-3-27 21:33:19 | 只看該作者
Label-Free LC-MS Method for the Identification of Biomarkersration of extracted ion chromatograms. Additionally, we describe methods for transformation and normalization of the quantitative peptide levels in multiplexed measurements to improve precision for statistical analysis. Lastly, we outline how the described methods can be used to design and power biomarker discovery studies.
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發(fā)表于 2025-3-28 01:32:19 | 只看該作者
Book 2008ge. In .Clinical Proteomics., a select group of?leading researchers has contributed their state-of-the-art methodologies on protein profiling and identification of disease biomarkers in tissues, microdissected cells and body fluids. Experimental approaches involving the application of two-dimensiona
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發(fā)表于 2025-3-28 02:48:49 | 只看該作者
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發(fā)表于 2025-3-28 14:23:44 | 只看該作者
Specimen Collection and Handlingristics can have a tremendous impact on the results of the analysis..The awareness of clinical practices in medical laboratories and the current knowledge allow for identification of specific variables that affect the results of a proteomic study. The knowledge of preanalytical variables is a prerequisite to understand and control their impact.
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