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ORCIDLearning and Inference in Computational Systems Biology, 2010
- Neil D. Lawrence, Mark A. Girolami, Magnus Rattray, Guido Sanguinetti:
Learning and Inference in Computational Systems Biology. Computational molecular biology, MIT Press 2010, ISBN 978-0-262-01386-4 - Johannes Jaeger, Nicholas A. M. Monk:
Reverse Engineering of Gene Regulatory Networks. Learning and Inference in Computational Systems Biology 2010: 9-34 - Pedro Mendes:
Framework for Comparative Assessment of Parameter Estimation and Inference Methods in Systems Biology. Learning and Inference in Computational Systems Biology 2010: 35-60 - Florence d'Alché-Buc, Nicolas Brunei:
Estimation of Parametric Nonlinear ODEs for Biological Networks Identification. Learning and Inference in Computational Systems Biology 2010: 61-96 - Neil D. Lawrence, Magnus Rattray:
A Brief Introduction to Bayesian Inference. Learning and Inference in Computational Systems Biology 2010: 97-116 - John Angus, Matthew J. Beal, Juan Li, Claudia Rangel, David L. Wild:
Inferring Transcriptional Networks Using Prior Biological Knowledge and Constrained State-Space Models. Learning and Inference in Computational Systems Biology 2010: 117-152 - Kuang Lin, Dirk Husmeier:
Mixtures of Factor Analyzers for Modeling Transcriptional Regulation. Learning and Inference in Computational Systems Biology 2010: 153-200 - Mark Girolami, Ben Calderhead, Vladislav Vyshemirsky:
System Identification and Model Ranking: The Bayesian Perspective. Learning and Inference in Computational Systems Biology 2010: 201-230 - Neil D. Lawrence, Magnus Rattray, Pei Gao, Michalis K. Titsias:
Gaussian Processes for Missing Species in Biochemical Systems. Learning and Inference in Computational Systems Biology 2010: 231-252 - Darren J. Wilkinson, Andrew Golightly:
Markov Chain Monte Carlo Algorithms for SDE Parameter Estimation. Learning and Inference in Computational Systems Biology 2010: 253-276 - Andreas Ruttor, Guido Sanguinetti, Manfred Opper:
Approximate Inference for Stochastic Reaction processes. Learning and Inference in Computational Systems Biology 2010: 277-296 - Guy Yosiphon, Eric Mjolsness:
Toward the Inference of Stochastic Biochemical Network and Parameterized Grammar Models. Learning and Inference in Computational Systems Biology 2010: 297-314
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