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Hybrid Systems Biology

Overview of attention for book
Cover of 'Hybrid Systems Biology'

Table of Contents

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    Book Overview
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    Chapter 1 A Multimodular System to Study the Impact of a Focal Lesion in Neuronal Cell Cultures
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    Chapter 2 Reachability Analysis and Hybrid Systems Biology - In Memoriam Oded Maler
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    Chapter 3 Reaction Networks, Oscillatory Motifs and Parameter Estimation in Biochemical Systems
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    Chapter 4 Fixed-Point Computation of Equilibria in Biochemical Regulatory Networks
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    Chapter 5 Rejection-Based Simulation of Stochastic Spreading Processes on Complex Networks
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    Chapter 6 Controlling Noisy Expression Through Auto Regulation of Burst Frequency and Protein Stability
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    Chapter 7 Extracting Landscape Features from Single Particle Trajectories
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    Chapter 8 A Hybrid HMM Approach for the Dynamics of DNA Methylation
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    Chapter 9 Using a Hybrid Approach to Model Central Carbon Metabolism Across the Cell Cycle
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    Chapter 10 Data-Informed Parameter Synthesis for Population Markov Chains
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    Chapter 11 rPrism – A Software for Reactive Weighted State Transition Models
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    Chapter 12 Hybrid Modeling of Metabolic-Regulatory Networks (Extended Abstract)
Attention for Chapter 1: A Multimodular System to Study the Impact of a Focal Lesion in Neuronal Cell Cultures
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Chapter title
A Multimodular System to Study the Impact of a Focal Lesion in Neuronal Cell Cultures
Chapter number 1
Book title
Hybrid Systems Biology
Published by
Springer, Cham, April 2019
DOI 10.1007/978-3-030-28042-0_1
Book ISBNs
978-3-03-028041-3, 978-3-03-028042-0
Authors

Alberto Averna, Marta Carè, Stefano Buccelli, Marianna Semprini, Francesco Difato, Michela Chiappalone

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 67%
Student > Bachelor 1 33%
Readers by discipline Count As %
Neuroscience 2 67%
Engineering 1 33%

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