| Description |
1 online resource (xxix, 710 p.) |
| Contents |
What are Gene Regulatory Networks? / Alberto de la Fuente -- Introduction to GRNs / Ugo Ala, Christian Damasco -- Bayesian Networks for Modeling and Inferring Gene Regulatory Networks / Sebastian Bauer, Peter Robinson -- Inferring Gene Regulatory Networks from Genetical Genomics Data / Bing Liu, Ina Hoeschele, Alberto de la Fuente -- Inferring Genetic Regulatory Interactions with Bayesian Logic-Based Model / Svetlana Bulashevska -- A Bayes Regularized Ordinary Differential Equation Model for the Inference of Gene Regulatory Networks / Nicole Radde, Lars Kaderali -- Computational Approaches for Modeling Intrinsic Noise and Delays in Genetic Regulatory Networks / Manuel Barrio [and others] -- Modeling Gene Regulatory Networks with Delayed Stochastic Dynamics / Andre S. Ribeiro, John J. Grefenstette, Stuart A. Kauffman -- Nonlinear Stochastic Differential Equations Method for Reverse Engineering of Gene Regulatory Network / Adriana Climescu-Haulica, Michelle Quirk -- Modelling Gene Regulatory Networks Using Computational Intelligence Techniques / Ramesh Ram, Madhu Chetty -- A Synthesis Method of Gene Regulatory Networks based on Gene Expression by Network Learning / Yoshihiro Mori, Yasuaki Kuroe -- Structural Learning of Genetic Regulatory Networks Based on Prior Biological Knowledge and Microarray Gene Expression Measurements / Yang Dai [and others] -- Problems for Structure Learning: Aggregation and Computational Complexity / Frank Wimberly [and others] |
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Complexity of the BN and the PBN Models of GRNs and Mappings for Complexity Reduction / Ivan V. Ivanov -- Abstraction Methods for Analysis of Gene Regulatory Networks / Chris J. Myers -- Improved Model Checking Techniques for State Space Analysis of Gene Regulatory Networks / Hélio C. Pais [and others] -- Determining the Properties of Gene Regulatory Networks from Expression Data / Larry S. Liebovitch [and others] -- Generalized Boolean Networks: How Spatial and Temporal Choices Influence Their Dynamics / Christian Darabos, Mario Giacobini, Marco Tomassini -- A Linear Programming Framework for Inferring Gene Regulatory Networks by Integrating Heterogeneous Data / Yong Wang [and others] -- Integrating Various Data Sources for Improved Quality in Reverse Engineering of Gene Regulatory Networks / Mika Gustafsson, Michael Hörnquist -- Dynamic Links and Evolutionary History in Simulated Gene Regulatory Networks / T. Steiner [and others] -- A Model for a Heterogeneous Genetic Network / Ângela T.F. Gonçalves, Ernesto J.F. Costa -- Planning Interventions for Gene Regulatory Networks as Partially Observable Markov Decision Processes / Daniel Bryce, Seungchan Kim -- Mathematical Modeling of the [lambda] Switch: A Fuzzy Logic Approach / Dmitriy Laschov, Michael Margaliot -- Petri Nets and GRN Models / Ina Koch |
| Summary |
"This book focuses on methods widely used in modeling gene networks including structure discovery, learning, and optimization"--Provided by publisher |
| Bibliography |
Includes bibliographical references (p. 638-687) and index |
| Notes |
Description based on print version record and CIP data provided by publisher; resource not viewed |
| Subject |
Gene regulatory networks -- Mathematical models -- Handbooks, manuals, etc
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Gene regulatory networks.
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Gene Regulatory Networks
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Computational Biology -- methods
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Computer Simulation
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Models, Genetic
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simulation.
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SCIENCE -- Life Sciences -- Genetics & Genomics.
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Genetic regulation -- Mathematical models.
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| Genre/Form |
Handbooks and manuals.
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| Form |
Electronic book
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| Author |
Das, Sanjoy, 1968-
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| LC no. |
2021695734 |
| ISBN |
9781605666860 |
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1605666866 |
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