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Titlebook: Clinical Metabolomics Applications in Genetic Diseases; Anas M. Abdel Rahman Book 2023 The Editor(s) (if applicable) and The Author(s), un

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發(fā)表于 2025-3-21 16:38:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Clinical Metabolomics Applications in Genetic Diseases
編輯Anas M. Abdel Rahman
視頻videohttp://file.papertrans.cn/229/228084/228084.mp4
概述Reviews recent breakthroughs in clinical metabolomics research using high-throughput approaches.Explores the principles and applications of metabolomics technologies for studying genetic diseases.Cove
圖書封面Titlebook: Clinical Metabolomics Applications in Genetic Diseases;  Anas M. Abdel Rahman Book 2023 The Editor(s) (if applicable) and The Author(s), un
描述This book helps readers discover the forefront of personalized medicine on clinical metabolomics and its applications in genetic diseases. This comprehensive guide offers a functional relationship map between cell components and genetic variations in various diseases, providing insights that can be applied to personalized medicine.??.The book covers the latest developments in metabolomics for health, with practical guidance for clinical experts looking to advance their laboratory techniques and career. The metabolomics profile is a powerful tool that has revolutionized our understanding of the relationship between genetics, clinical readouts, and disease outcomes. By integrating metabolomics with genomics and clinical phenotypes, the authors have developed diagnostic and prediction models that have vastly improved patient outcomes and deepened the understanding of disease mechanisms.?.This model has been successfully applied in various conditions, including inborn errors of metabolism, primary immunodeficiency, and endocrine disorders. However, integrating metabolomics with other omics datasets and clinical phenotypes requires careful study design, analytical tools, and data analys
出版日期Book 2023
關(guān)鍵詞Proteomics; Genomics; Transcriptomics; Integrated multi-omics; Personalized medicine; Biomarker discovery
版次1
doihttps://doi.org/10.1007/978-981-99-5162-8
isbn_softcover978-981-99-5164-2
isbn_ebook978-981-99-5162-8
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Anas M. Abdel RahmanReviews recent breakthroughs in clinical metabolomics research using high-throughput approaches.Explores the principles and applications of metabolomics technologies for studying genetic diseases.Cove
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https://doi.org/10.1007/978-3-658-11366-7abolomics data in conjugation with metabolic pathways, including other omics datasets, to produce a network of endogenous metabolites (metabotype) associated with the phenotypes. Nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry are the main analytical techniques in combination wit
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Jahrbuch für Friedens- und Konfliktforschungtion of disease mechanisms. This chapter introduces readers to some of the bioinformatic tools that can be used to facilitate clinical metabolomics and provide key insights into disease processes. In particular, readers will be introduced to several important bioinformatic tools and resources in cli
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Jahrbuch für Friedens- und Konfliktforschungetabolic pathways of physiologically active cells and tissues, along with an improved resolution of high-throughput screening capabilities, brought forth the clinical metabolome. Clinicians can now take a metabolic snapshot while assessing their patients and receive invaluable information on patholo
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