Handbook of Research on Computational Methodologies in Gene Regulatory Networks

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文件名称：Handbook of Research on Computational Methodologies in Gene Regulatory Networks
文件大小：10.8MB
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更新时间：2013-10-29 09:55:11
Gene Regulatory Networks Section 1 Introduction Chapter 1 What are Gene Regulatory Networks? ................................................................................................... 1 Alberto de la Fuente, CRS4 Bioinformatica, Italy Chapter 2 Introduction to GRNs ............................................................................................................................ 28 Ugo Ala, Università di Torino, Italy Christian Damasco, Università di Torino, Italy Section 2 Network Inference Chapter 3 Bayesian Networks for Modeling and Inferring Gene Regulatory Networks ...................................... 57 Sebastian Bauer, Charité Universitätsmedizin Berlin, Germany Peter Robinson, Charité Universitätsmedizin Berlin, Germany Chapter 4 Inferring Gene Regulatory Networks from Genetical Genomics Data ................................................. 79 Bing Liu, Monsanto Co., USA Ina Hoeschele, Virginia Polytechnic Institute and State University, USA Alberto de la Fuente, CRS4 Bioinformatica, Italy Chapter 5 Inferring Genetic Regulatory Interactions with Bayesian Logic-Based Model .................................. 108 Svetlana Bulashevska, German Cancer Research Centre (DKFZ), Germany Chapter 6 A Bayes Regularized Ordinary Differential Equation Model for the Inference of Gene Regulatory Networks ............................................................................................................ 139 Nicole Radde, University of Leipzig, Germany Lars Kaderali, University of Heidelberg, Germany Section 3 Modeling Methods Chapter 7 Computational Approaches for Modeling Intrinsic Noise and Delays in Genetic Regulatory Networks ......................................................................................................... 169 Manuel Barrio, University of Valladolid, Spain Kevin Burrage, The University of Oxford, UK Pamela Burrage, The University of Queensland, Australia Andr¨¦ Leier, ETH Zurich, Switzerland Tatiana M¨¢rquez Lago, ETH Zurich, Switzerland Chapter 8 Modeling Gene Regulatory Networks with Delayed Stochastic Dynamics ....................................... 198 Andre S. Ribeiro, Tampere University of Technology, Finland John J. Grefenstette, George Mason University, USA Stuart A. Kauffman, University of Calgary, Canada Chapter 9 Nonlinear Stochastic Differential Equations Method for Reverse Engineering of Gene Regulatory Network .............................................................................................................. 219 Adriana Climescu-Haulica, Universit¨¦ Joseph Fourier, France Michelle Quirk, Los Alamos National Laboratory, USA Chapter 10 Modelling Gene Regulatory Networks Using Computational Intelligence Techniques ..................... 244 Ramesh Ram, Monash University, Australia Madhu Chetty, Monash University, Australia