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Publications of Author

1. Jonathan Shapiro, Adam Prügel-Bennett, Magnus Rattray
   A Statistical Mechanical Formulation of the Dynamics of Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
   Evolutionary Computing, AISB Workshop, 1994, pp:17-27 [Conf]
   
2. Guido Sanguinetti, Magnus Rattray, Neil D. Lawrence
   Identifying Submodules of Cellular Regulatory Networks. [Citation Graph (0, 0)][DBLP]
   CMSB, 2006, pp:155-168 [Conf]
   
3. David C. Hoyle, Magnus Rattray
   A Statistical Mechanics Analysis of Gram Matrix Eigenvalue Spectra. [Citation Graph (0, 0)][DBLP]
   COLT, 2004, pp:579-593 [Conf]
   
4. Magnus Rattray, Jonathan Shapiro
   Noisy Fitness Evaluation in Genetic Algorithms and the Dynamics of Learning. [Citation Graph (0, 0)][DBLP]
   FOGA, 1996, pp:117-139 [Conf]
   
5. Gleb Basalyga, Magnus Rattray
   Dynamics of ICA for High-Dimensional Data. [Citation Graph (0, 0)][DBLP]
   ICANN, 2002, pp:1112-1118 [Conf]
   
6. Magnus Rattray
   A Model-Based Distance for Clustering. [Citation Graph (0, 0)][DBLP]
   IJCNN (4), 2000, pp:13-16 [Conf]
   
7. David C. Hoyle, Magnus Rattray
   Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA. [Citation Graph (0, 0)][DBLP]
   NIPS, 2003, pp:- [Conf]
   
8. Magnus Rattray, Gleb Basalyga
   Scaling Laws and Local Minima in Hebbian ICA. [Citation Graph (0, 0)][DBLP]
   NIPS, 2001, pp:495-501 [Conf]
   
9. Magnus Rattray, David Saad
   Globally Optimal On-line Learning Rules. [Citation Graph (0, 0)][DBLP]
   NIPS, 1997, pp:- [Conf]
   
10. Magnus Rattray, Xuejun Liu, Guido Sanguinetti, Marta Milo, Neil D. Lawrence
    Propagating uncertainty in microarray data analysis. [Citation Graph (0, 0)][DBLP]
    Briefings in Bioinformatics, 2006, v:7, n:1, pp:37-47 [Journal]
    
11. David C. Hoyle, Magnus Rattray, Ray Jupp, Andy Brass
    Making sense of microarray data distributions. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:4, pp:576-584 [Journal]
    
12. Xuejun Liu, Marta Milo, Neil D. Lawrence, Magnus Rattray
    A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:18, pp:3637-3644 [Journal]
    
13. Xuejun Liu, Marta Milo, Neil D. Lawrence, Magnus Rattray
    Probe-level measurement error improves accuracy in detecting differential gene expression. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:17, pp:2107-2113 [Journal]
    
14. Guido Sanguinetti, Marta Milo, Magnus Rattray, Neil D. Lawrence
    Accounting for probe-level noise in principal component analysis of microarray data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:19, pp:3748-3754 [Journal]
    
15. Guido Sanguinetti, Magnus Rattray, Neil D. Lawrence
    A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:14, pp:1753-1759 [Journal]
    
16. Guido Sanguinetti, Neil D. Lawrence, Magnus Rattray
    Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:22, pp:2775-2781 [Journal]
    
17. Gleb Basalyga, Magnus Rattray
    Statistical Dynamics of On-line Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1393-1410 [Journal]
    
18. Magnus Rattray
    Stochastic Trapping in a Solvable Model of On-Line Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:2, pp:421-435 [Journal]
    
19. Neil D. Lawrence, Guido Sanguinetti, Magnus Rattray
    Modelling transcriptional regulation using Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:785-792 [Conf]
    
20. 
    Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities. [Citation Graph (, )][DBLP]
    
    
21. 
    A probabilistic model for generating realistic lip movements from speech. [Citation Graph (, )][DBLP]
    
    
22. 
    Efficient Sampling for Gaussian Process Inference using Control Variables. [Citation Graph (, )][DBLP]
    
    
23. 
    Bayesian inference of the sites of perturbations in metabolic pathways via Markov chain Monte Carlo. [Citation Graph (, )][DBLP]
    
    
24. 
    Including probe-level uncertainty in model-based gene expression clustering. [Citation Graph (, )][DBLP]
    
    
25. 
    puma: a Bioconductor package for propagating uncertainty in microarray analysis. [Citation Graph (, )][DBLP]