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Computational Systems Biology
Computational Systems Biology
Knygos.lt klubas Knygos.lt nariams
372,46 €
-30%
Įprastai
532,09 €
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Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems. This book addresses the challenge to integrate highly diverse quantitative approaches into a unified framework by highlighting the relationships existing among network analysis, inference, and modeling. The chapters are light in jargon and technical detail so as to make the…
  • Leidėjas:
  • ISBN-10: 0081000952
  • ISBN-13: 9780081000953
  • Formatas: 15.2 x 22.9 x 1.1 cm, kieti viršeliai
  • Kalba: Anglų

Computational Systems Biology (el. knyga) (skaityta knyga) | knygos.lt

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Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems.

This book addresses the challenge to integrate highly diverse quantitative approaches into a unified framework by highlighting the relationships existing among network analysis, inference, and modeling.

The chapters are light in jargon and technical detail so as to make them accessible to the non-specialist reader. The book is addressed at the heterogeneous public of modelers, biologists, and computer scientists.

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  • Autorius: Paola Lecca
  • Leidėjas:
  • ISBN-10: 0081000952
  • ISBN-13: 9780081000953
  • Formatas: 15.2 x 22.9 x 1.1 cm, kieti viršeliai
  • Kalba: Anglų

Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems.

This book addresses the challenge to integrate highly diverse quantitative approaches into a unified framework by highlighting the relationships existing among network analysis, inference, and modeling.

The chapters are light in jargon and technical detail so as to make them accessible to the non-specialist reader. The book is addressed at the heterogeneous public of modelers, biologists, and computer scientists.

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