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Handbook of Statistical Systems Biology
Systems 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 th...
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Chichester, West Sussex ; Hoboken, N.J.
John Wiley & Sons
2011
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Table of Contents:
- 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.