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| Additional Physical Format: | Online version: Learning and inference in computational systems biology. Cambridge, Mass. : MIT Press, c2010 (OCoLC)762146856 |
|---|---|
| Document Type: | Book |
| All Authors / Contributors: |
Neil Lawrence; et al |
| ISBN: | 9780262013864 026201386X |
| OCLC Number: | 416139763 |
| Description: | viii, 362 p. : ill. ; 24 cm. |
| Contents: | Introduction / Neil D. Lawrence -- Reverse engineering of gene regulatory networks / Johannes Jaeger and Nicholas A.M. Monk -- Framework for comparative assessment of parameter estimation and inference methods in systems biology / Pedro Mendes -- Estimation of parametric nonlinear ODEs for biological networks identification / Florence d'Alché-Buc, Nicholas Brunel -- A brief introduction to Bayesian inference / Neil D. Lawrence, Magnus Rattray -- Inferring transcriptional networks using prior biological knowledge and constrained state-space models / John Angus ... [et al.] -- Mixtures of factor analyzers for modeling transcriptional regulation / Kuang Lin, and Dirk Husmeier -- System identification and model ranking: the Bayesian perspective / Mark Girolami, Ben Calderhead and Vladislav Vyshemirsky -- Gaussian processes for missing species in biochemical systems / Neil D. Lawrence ... [et al.] -- Markov chain Monte Carlo algorithms for SDE parameter estimation / Darren J. Wilkinson and Andrew Golightly -- Approximate inference for stochastic reaction processes / Andreas Ruttor, Guido Sanguinetti, and Manfred Opper -- Toward the inference of stochastic biochemical network and parameterized grammar models / Guy Yosiphon and Eric Mjolsness. |
| Series Title: | Computational molecular biology. |
| Responsibility: | edited by Neil D. Lawrence ... [et al.]. |
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