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Automated reasoning for systems biol...

Lio, Pietro.

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Automated reasoning for systems biology and medicine

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Automated reasoning for systems biology and medicine/ edited by Pietro Lio, Paolo Zuliani.
其他作者:	Lio, Pietro.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xi, 474 p. :ill., digital ;24 cm.
內容註:	Part I: Model Checking -- Chapter 1. Model Checking Approach to the Analysis of Biological Systems -- Chapter2. Automated Reasoning for the Synthesis and Analysis of Biological Programs -- Chapter 3. Statistical Model Checking based Analysis Techniques of Biological Networks -- Chapter 4. Models, Devices, Properties and Verification for the Artificial Pancreas -- Chapter 5. Using State Space Exploration to Determine How Gene Regulatory Networks Constrain Mutation Order in Cancer Evolution -- Part II: Formal Methods and Logic -- Chapter 6. Set-based Analysis for Biological Modelling -- Chapter 7. Logic and Linear Programs to Understand Cancer Response -- Chapter 8. Logic-Based Formalization of System Requirements for Integrated Clinical Environments -- Chapter 9. Balancing prescriptions with Constraint Solvers -- Chapter 10. Metastable Regimes and Tipping Points of Biochemical Networks with Potential Applications in Precision Medicine -- Part III: Stochastic Modelling and Analysis -- Chapter 11. Stochastic Spatial Modelling of the Remyelination Process in Multiple Sclerosis Lesions -- Chapter 12. Approximation Techniques for Stochastic Analysis of Biological Systems -- Chapter 13. A Graphical Approach for the Hybrid Modelling of Intracellular Calcium Dynamics Based on Coloured Hybrid Petri Nets -- Chapter 14. Methods for Personalised Delivery Rate Computation for IV Administered Anesthetic Propofol -- Part IV: Machine Learning and Artificial Intelligence -- Chapter 15. Towards the Integration of Metabolic Network Modelling and Machine Learning for the Routine Analysis of High-Throughput Patient Data -- Chapter 16. Opportunities and Challenges in Applying Artificial Intelligence to Bioengineering -- Chapter 17. Deep Learning with Convolutional Neural Networks for Histopathology Image Analysis.
Contained By:	Springer eBooks
標題:	Computational biology. -
電子資源:	https://doi.org/10.1007/978-3-030-17297-8
ISBN:	9783030172978

Automated reasoning for systems biology and medicine
Automated reasoning for systems biology and medicine[electronic resource] /edited by Pietro Lio, Paolo Zuliani. - Cham :Springer International Publishing :2019. - xi, 474 p. :ill., digital ;24 cm. - Computational biology,v.301568-2684 ;. - Computational biology ;v.30..

Part I: Model Checking -- Chapter 1. Model Checking Approach to the Analysis of Biological Systems -- Chapter2. Automated Reasoning for the Synthesis and Analysis of Biological Programs -- Chapter 3. Statistical Model Checking based Analysis Techniques of Biological Networks -- Chapter 4. Models, Devices, Properties and Verification for the Artificial Pancreas -- Chapter 5. Using State Space Exploration to Determine How Gene Regulatory Networks Constrain Mutation Order in Cancer Evolution -- Part II: Formal Methods and Logic -- Chapter 6. Set-based Analysis for Biological Modelling -- Chapter 7. Logic and Linear Programs to Understand Cancer Response -- Chapter 8. Logic-Based Formalization of System Requirements for Integrated Clinical Environments -- Chapter 9. Balancing prescriptions with Constraint Solvers -- Chapter 10. Metastable Regimes and Tipping Points of Biochemical Networks with Potential Applications in Precision Medicine -- Part III: Stochastic Modelling and Analysis -- Chapter 11. Stochastic Spatial Modelling of the Remyelination Process in Multiple Sclerosis Lesions -- Chapter 12. Approximation Techniques for Stochastic Analysis of Biological Systems -- Chapter 13. A Graphical Approach for the Hybrid Modelling of Intracellular Calcium Dynamics Based on Coloured Hybrid Petri Nets -- Chapter 14. Methods for Personalised Delivery Rate Computation for IV Administered Anesthetic Propofol -- Part IV: Machine Learning and Artificial Intelligence -- Chapter 15. Towards the Integration of Metabolic Network Modelling and Machine Learning for the Routine Analysis of High-Throughput Patient Data -- Chapter 16. Opportunities and Challenges in Applying Artificial Intelligence to Bioengineering -- Chapter 17. Deep Learning with Convolutional Neural Networks for Histopathology Image Analysis.

ISBN: 9783030172978

Standard No.: 10.1007/978-3-030-17297-8doiSubjects--Topical Terms:

590653
Computational biology.

LC Class. No.: QH324.2 / .A98 2019

Dewey Class. No.: 570.285

Automated reasoning for systems biology and medicine
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