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Data Analysis for Omic Sciences: Methods and Applications
Book 43 of 57: Comprehensive Analytical ChemistryLanguage: English
Published by Elsevier Science Serials, 2018
ISBN 10: 0444640444 ISBN 13: 9780444640444
Hardcover. Condition: Brand New. 706 pages. 9.00x6.00x1.50 inches. In Stock.
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Data Analysis for Omic Sciences: Methods and Applications
Book 43 of 57: Comprehensive Analytical ChemistryLanguage: English
Published by Elsevier Science & Technology, Elsevier, 2018
ISBN 10: 0444640444 ISBN 13: 9780444640444
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data Analysis for Omic Sciences: Methods and Applications, Volume 82, shows how these types of challenging datasets can be analyzed. Examples of applications in real environmental, clinical and food analysis cases help readers disseminate these approaches. Chapters of note include an Introduction to Data Analysis Relevance in the Omics Era, Omics Experimental Design and Data Acquisition, Microarrays Data, Analysis of High-Throughput RNA Sequencing Data, Analysis of High-Throughput DNA Bisulfite Sequencing Data, Data Quality Assessment in Untargeted LC-MS Metabolomic, Data Normalization and Scaling, Metabolomics Data Preprocessing, and more. Englisch.
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Data Analysis for Omic Sciences: Methods and Applications
Book 43 of 57: Comprehensive Analytical ChemistryLanguage: English
Published by Elsevier Science & Technology, Elsevier, 2018
ISBN 10: 0444640444 ISBN 13: 9780444640444
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data Analysis for Omic Sciences: Methods and Applications, Volume 82, shows how these types of challenging datasets can be analyzed. Examples of applications in real environmental, clinical and food analysis cases help readers disseminate these approaches. Chapters of note include an Introduction to Data Analysis Relevance in the Omics Era, Omics Experimental Design and Data Acquisition, Microarrays Data, Analysis of High-Throughput RNA Sequencing Data, Analysis of High-Throughput DNA Bisulfite Sequencing Data, Data Quality Assessment in Untargeted LC-MS Metabolomic, Data Normalization and Scaling, Metabolomics Data Preprocessing, and more.
