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Introduction to Mathematics for Computational Biology (Techniques in Life Science and Biomedicine for the Non-Expert) - Softcover
Synopsis
This introductory guide provides a thorough explanation of the mathematics and algorithms used in standard data analysis techniques within systems biology, biochemistry, and biophysics. Each part of the book covers the mathematical background and practical applications of a given technique. Readers will gain an understanding of the mathematical and algorithmic steps needed to use these software tools appropriately and effectively, as well how to assess their specific circumstance and choose the optimal method and technology. Ideal for students planning for a career in research, early-career researchers, and established scientists undertaking interdisciplinary research.
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About the Author
Paola Lecca, Assistant Professor, Faculty of Engineering, Free University of Bozen-Bolzano, Italy
Bruno Carpentieri, Associate Professor, Faculty of Engineering, Free University of Bozen-Balzano, Italy
From the Back Cover
This introductory guide provides a thorough explanation of the mathematics and algorithms used in standard data analysis techniques within systems biology, biochemistry, and biophysics. Each part of the book covers the mathematical background and practical applications of a given technique. Readers will gain an understanding of the mathematical and algorithmic steps needed to use these software tools appropriately and effectively, as well how to assess their specific circumstance and choose the optimal method and technology. Ideal for students planning for a career in research, early-career researchers, and established scientists undertaking interdiscplinary research.
"About this title" may belong to another edition of this title.
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Introduction to Mathematics for Computational Biology (eng)
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Introduction to Mathematics for Computational Biology
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Introduction to Mathematics for Computational Biology
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Introduction to Mathematics for Computational Biology (Techniques in Life Science and Biomedicine for the Non-Expert)
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Introduction to Mathematics for Computational Biology
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This introductory guide provides a thorough explanation of the mathematics and algorithms used in standard data analysis techniques within systems biology, biochemistry, and biophysics. Each part of the book covers the mathematical background and practical applications of a given technique. Readers will gain an understanding of the mathematical and algorithmic steps needed to use these software tools appropriately and effectively, as well how to assess their specific circumstance and choose the optimal method and technology. Ideal for students planning for a career in research, early-career researchers, and established scientists undertaking interdisciplinary research. Seller Inventory # 9783031365683
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Introduction to Mathematics for Computational Biology (Techniques in Life Science and Biomedicine for the Non-Expert)
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Introduction to Mathematics for Computational Biology
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Taschenbuch. Condition: Neu. Introduction to Mathematics for Computational Biology | Paola Lecca (u. a.) | Taschenbuch | Techniques in Life Science and Biomedicine for the Non-Expert | x | Englisch | 2024 | Springer | EAN 9783031365683 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 130075901
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Introduction to Mathematics for Computational Biology
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ISBN 10: 3031365682
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This introductory guide provides a thorough explanation of the mathematics and algorithms used in standard data analysis techniques within systems biology, biochemistry, and biophysics. Each part of the book covers the mathematical background and practical applications of a given technique. Readers will gain an understanding of the mathematical and algorithmic steps needed to use these software tools appropriately and effectively, as well how to assess their specific circumstance and choose the optimal method and technology. Ideal for students planning for a career in research, early-career researchers, and established scientists undertaking interdisciplinary research.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 276 pp. Englisch. Seller Inventory # 9783031365683