This volume in the series, Translational Bioinformatics, provides an up-to-date overview of genomic approaches to asthma. By applying unbiased "-omics" combined with disease-focused and hypothesis-driven approaches, it enhances readers' understanding of the asthma endotype.
Furthermore, it elucidates how progress in -omics research, such as "genomic," "transcriptomic," "protomic," and "metabolomic," is applied in asthma, and reports on the related series of important breakthroughs in asthma development, classification, prevention and drug sensitivity. Also covering systems biology knowledge and methodologies, computational models and biostatistical methods to analyze big data, this book provides a valuable resource for scientists and researchers in the field of asthma and respiratory diseases.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dr. Xiangdong Wang is Distinguished Professor at Zhongshan Hospital Fudan University;
Dr. Zhihong Chen is Associate Director of Chronic Airway Diseases, Respiratory Division, Zhongshan Hospital, Fudan University.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume in the series, Translational Bioinformatics, provides an up-to-date overview of genomic approaches to asthma. By applying unbiased '-omics' combined with disease-focused and hypothesis-driven approaches, it enhances readers' understanding of the asthma endotype. Furthermore, it elucidates how progress in -omics research, such as 'genomic,' 'transcriptomic,' 'protomic,' and 'metabolomic,' is applied in asthma, and reports on the related series of important breakthroughs in asthma development, classification, prevention and drug sensitivity. Also covering systems biology knowledge and methodologies, computational models and biostatistical methods to analyze big data, this book provides a valuable resource for scientists and researchers in the field of asthma and respiratory diseases. 404 pp. Englisch. N° de réf. du vendeur 9789811342332
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Taschenbuch. Etat : Neu. Genomic Approach to Asthma | Xiangdong Wang (u. a.) | Taschenbuch | Translational Bioinformatics | xvi | Englisch | 2019 | Springer | EAN 9789811342332 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 116776139
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume in the series, Translational Bioinformatics, provides an up-to-date overview of genomic approaches to asthma. By applying unbiased ¿-omics¿ combined with disease-focused and hypothesis-driven approaches, it enhances readers¿ understanding of the asthma endotype.Furthermore, it elucidates how progress in -omics research, such as ¿genomic,¿ ¿transcriptomic,¿ ¿protomic,¿ and ¿metabolomic,¿ is applied in asthma, and reports on the related series of important breakthroughs in asthma development, classification, prevention and drug sensitivity. Also covering systems biology knowledge and methodologies, computational models and biostatistical methods to analyze big data, this book provides a valuable resource for scientists and researchers in the field of asthma and respiratory diseases.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 404 pp. Englisch. N° de réf. du vendeur 9789811342332
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume in the series, Translational Bioinformatics, provides an up-to-date overview of genomic approaches to asthma. By applying unbiased '-omics' combined with disease-focused and hypothesis-driven approaches, it enhances readers' understanding of the asthma endotype. Furthermore, it elucidates how progress in -omics research, such as 'genomic,' 'transcriptomic,' 'protomic,' and 'metabolomic,' is applied in asthma, and reports on the related series of important breakthroughs in asthma development, classification, prevention and drug sensitivity. Also covering systems biology knowledge and methodologies, computational models and biostatistical methods to analyze big data, this book provides a valuable resource for scientists and researchers in the field of asthma and respiratory diseases. N° de réf. du vendeur 9789811342332
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