335,15 €
372,39 €
-10% with code: EXTRA
Introduction to Mathematics for Computational Biology
Introduction to Mathematics for Computational Biology
335,15
372,39 €
  • We will send in 10–14 business days.
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…
372.39
  • Publisher:
  • ISBN-10: 3031365658
  • ISBN-13: 9783031365652
  • Format: 15.6 x 23.4 x 1.8 cm, kieti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

Introduction to Mathematics for Computational Biology (e-book) (used book) | bookbook.eu

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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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  • Author: Paola Lecca
  • Publisher:
  • ISBN-10: 3031365658
  • ISBN-13: 9783031365652
  • Format: 15.6 x 23.4 x 1.8 cm, kieti viršeliai
  • Language: English English

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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