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Computational Methods in Systems Biology
Computational Methods in Systems Biology
91,03
107,09 €
  • Išsiųsime per 12–18 d.d.
This book constitutes the refereed proceedings of the 23rd International Conference on Computational Methods in Systems Biology, CMSB 2025, which took place in Lyon, France, during September 10–12, 2025.  The 21 full papers presented in this volume were carefully reviewed and selected from 34 submissions sent to reviews.  They are grouped into the following topics: Boolean Networks; Continuous and Hybrid models; Rule-based models; Model inference and machine learning; Population models and cont…
  • Leidėjas:
  • Metai: 2025
  • Puslapiai: 428
  • ISBN-10: 3032014352
  • ISBN-13: 9783032014351
  • Formatas: 15.5 x 23.5 x 2.4 cm, minkšti viršeliai
  • Kalba: Anglų
  • Extra -15 % nuolaida šiai knygai su kodu: ENG15

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

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This book constitutes the refereed proceedings of the 23rd International Conference on Computational Methods in Systems Biology, CMSB 2025, which took place in Lyon, France, during September 10–12, 2025. 

The 21 full papers presented in this volume were carefully reviewed and selected from 34 submissions sent to reviews. 

They are grouped into the following topics: Boolean Networks; Continuous and Hybrid models; Rule-based models; Model inference and machine learning; Population models and control.

 

EXTRA 15 % nuolaida su kodu: ENG15

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  • Leidėjas:
  • Metai: 2025
  • Puslapiai: 428
  • ISBN-10: 3032014352
  • ISBN-13: 9783032014351
  • Formatas: 15.5 x 23.5 x 2.4 cm, minkšti viršeliai
  • Kalba: Anglų

This book constitutes the refereed proceedings of the 23rd International Conference on Computational Methods in Systems Biology, CMSB 2025, which took place in Lyon, France, during September 10–12, 2025. 

The 21 full papers presented in this volume were carefully reviewed and selected from 34 submissions sent to reviews. 

They are grouped into the following topics: Boolean Networks; Continuous and Hybrid models; Rule-based models; Model inference and machine learning; Population models and control.

 

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