| 000 | 03918nam a2200169Ia 4500 | ||
|---|---|---|---|
| 999 |
_c295256 _d295256 |
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| 020 | _a9780470710869 | ||
| 082 | _a570.15195 HAN | ||
| 100 | _a Michael P. H. Stumpf [ editor ] | ||
| 245 | _aHandbook of Statistical Systems Biology | ||
| 260 |
_a Chichester, West Sussex ; Hoboken, N.J. _bJohn Wiley & Sons _c2011 |
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| 300 | _a xxi, 508 pages : illustrations (some color) ; 26 cm | ||
| 505 | _a Two challenges of systems biology / William S. Hlavacek -- Introduction to statistical methods for complex systems / Tristan Mary-Huard, Stephane Robin -- Bayesian inference and computation / Christian P. Robert, Jean-Michel Marin, Judith Rousseau -- Data integration : towards understanding biological complexity / David Gomez-Cabrero, Jesper Tegner -- Control engineering approaches to reverse engineering biomolecular networks / Francesco Montefusco, Carlo Cosentino, Declan G. Bates -- Algebraic statistics and methods in systems biology / Carsten Wiuf -- Transcriptomic technologies and statistical data analysis / Elizabeth Purdom, Sach Mukherjee -- Statistical data analysis in metabolomics / Timothy M.D. Ebbels, Maria De Iorio -- Imaging and single-cell measurement technologies / Yu-ichi Ozaki, Shinya Kuroda -- Protein interaction networks and their statistical analysis / Waqar Ali, Charlotte Deane, Gesine Reinert -- Introduction to graphical modelling / Marco Scutari, Korbinian Strimmer -- Recovering genetic network from continuous data with dynamic Bayesian networks / Gaelle Lelandais, Sophie Lebre -- Advanced applications of Bayesian networks in systems biology / Dirk Husmeier, Adriano V. Werhli, Marco Grzegorczyk -- Random graph models and their application to protein-protein interaction networks / Desmond J. Higham, Natasa Przulj. Modelling biological networks via tailored random graphs / Anthony C.C. Coolen [and others] -- Nonlinear dynamics : a brief introduction / Alessandro Moura, Celso Grebogi -- Qualitative inference in dynamical systems / Fatihcan M. Atay, Jurgen Jost -- Stochastic dynamical systems / Darren J. Wilkinson -- Gaussian process inference for differential equation models of transcriptional regulation / Neil Lawrence [and others] -- Model identification by utilizing likelihood-based methods / Andreas Raue, Jens Timmer -- Inference of signalling pathway models / Tina Toni, Juliane Liepe, Michael P.H. Stumpf -- Modelling transcription factor activity / Martino Barenco [and others] -- Host-pathogen systems biology / John W. Pinney -- Bayesian approaches for mass spectrometry-based metabolomics / Simon Rogers [and others] -- Systems biology of microRNAs / Doron Betel, Raya Khanin. | ||
| 520 | _aSystems Biology is moving away from the mathematical modeling and subsequent analysis of systems to a full statistical analysis and probabilistic reasoning over the inferences that can be made from these modeling exercises. There is a need for a comprehensive handbook covering the major themes in the area. This book provides a full and detailed treatment of important and emerging fields of statistical systems biology, with focus on characterising uncertainty and stochastic effects in mathematical models of biological systems. Provides a full and detailed treatment to statistical systems biology.Written by leading experts in the field.Introduces statistical methods for complex systems and Bayesianmethodology for systems biology.Covers networks and graphical modeling as well as a wide range ofStatistical models and Dynamical systems.Discusses various applications for statistical systems biology, such asGene regulation, and pharmacodynamics.Features statistical data analysis on numerous technologies, includingmetabolic and proteomic technologies. | ||
| 650 | _aStatistical methods, Biological systems, Systems biology, Mathematical models, Uncertainty, Stochastic analysis, Handbooks, manuals | ||
| 700 | _aD J Balding; Mark Girolami | ||
| 942 | _cBK | ||