Magnus Rattray

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All published works

Action	Title	Year	Authors
+ PDF Chat	Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference	2024	Xiaoyu Jiang Sokratia Georgaka Magnus Rattray Mauricio A. Álvarez
+ PDF Chat	Bayesian Detection of Piecewise Linear Trends in Replicated Time-Series with Application to Growth Data Modelling	2019	Panagiotis Papastamoulis Takanori Furukawa Norman van Rhijn Michael J. Bromley Elaine Bignell Magnus Rattray
+ PDF Chat	Bayesian estimation of differential transcript usage from RNA-seq data	2017	Panagiotis Papastamoulis Magnus Rattray
+ PDF Chat	Identifying stochastic oscillations in single-cell live imaging time series using Gaussian processes	2017	Nick E. Phillips Cerys Manning Nancy Papalopulu Magnus Rattray
+ PDF Chat	A Bayesian Model Selection Approach for Identifying Differentially Expressed Transcripts from RNA Sequencing Data	2017	Panagiotis Papastamoulis Magnus Rattray
+ PDF Chat	BayesBinMix: an R Package for Model Based Clustering of Multivariate Binary Data	2017	Panagiotis Papastamoulis Magnus Rattray
+	BayesBinMix: an R Package for Model Based Clustering of Multivariate Binary Data	2016	Panagiotis Papastamoulis Magnus Rattray
+ PDF Chat	Inferring the perturbation time from biological time course data	2016	Jing Yang Christopher A. Penfold Murray Grant Magnus Rattray
+ PDF Chat	Gaussian process models for periodicity detection	2016	Nicolas Durrande James Hensman Magnus Rattray Neil D. Lawrence
+	Inferring the perturbation time from biological time course data	2016	Jing Yang Christopher A. Penfold Murray Grant Magnus Rattray
+	BayesBinMix: an R Package for Model Based Clustering of Multivariate Binary Data	2016	Panagiotis Papastamoulis Magnus Rattray
+ PDF Chat	Genome-wide modeling of transcription kinetics reveals patterns of RNA production delays	2015	Antti Honkela Jaakko Peltonen Hande Topa Iryna Charapitsa Filomena Matarese Korbinian Grote Hendrik G. Stunnenberg George Reid Neil D. Lawrence Magnus Rattray
+ PDF Chat	Fast and accurate approximate inference of transcript expression from RNA-seq data	2015	James Hensman Panagiotis Papastamoulis Peter Glaus Antti Honkela Magnus Rattray
+ PDF Chat	Inference of RNA Polymerase II Transcription Dynamics from Chromatin Immunoprecipitation Time Course Data	2014	Ciira wa Maina Antti Honkela Filomena Matarese Korbinian Grote Hendrik G. Stunnenberg George Reid Neil D. Lawrence Magnus Rattray
+ PDF Chat	Fast Nonparametric Clustering of Structured Time-Series	2014	James Hensman Magnus Rattray Neil D. Lawrence
+	Fast variational inference for nonparametric clustering of structured time-series.	2014	James Hensman Magnus Rattray Neil D. Lawrence
+	Fast nonparametric clustering of structured time-series	2014	James Hensman Magnus Rattray Neil D. Lawrence
+	Fast and accurate approximate inference of transcript expression from RNA-seq data	2014	James Hensman Panagiotis Papastamoulis Peter Glaus Antti Honkela Magnus Rattray
+	Fast nonparametric clustering of structured time-series	2014	James Hensman Magnus Rattray Neil D. Lawrence
+	A Probabilistic Model of Transcription Dynamics applied to Estrogen Signalling in Breast Cancer Cells	2013	Ciira wa Maina Filomena Matarese Korbinian Grote Hendrik G. Stunnenberg George Reid Antti Honkela Neil D. Lawrence Magnus Rattray
+	Fast Approximate Inference of Transcript Expression Levels from RNA-seq Data	2013	James Hensman Peter Glaus Antti Honkela Magnus Rattray
+	Inference of RNA Polymerase II Transcription Dynamics from Chromatin Immunoprecipitation Time Course Data	2013	Ciira wa Maina Antti Honkela Filomena Matarese Korbinian Grote Hendrik G. Stunnenberg George C. Reid Neil D. Lawrence Magnus Rattray
+	Gaussian process models for periodicity detection	2013	Nicolas Durrande James Hensman Magnus Rattray Neil D. Lawrence
+	Fast Variational Inference in the Conjugate Exponential Family	2012	James Hensman Magnus Rattray Neil D. Lawrence
+ PDF Chat	Identifying differentially expressed transcripts from RNA-seq data with biological variation	2012	Peter Glaus Antti Honkela Magnus Rattray
+	Fast Variational Inference in the Conjugate Exponential Family	2012	James Hensman Magnus Rattray Neil D. Lawrence
+ PDF Chat	Inference algorithms and learning theory for Bayesian sparse factor analysis	2009	Magnus Rattray Oliver Stegle Kevin Sharp John Winn
+	Statistical mechanics of learning multiple orthogonal signals: Asymptotic theory and fluctuation effects	2007	David C. Hoyle Magnus Rattray
+	Principal-component-analysis eigenvalue spectra from data with symmetry-breaking structure	2004	David C. Hoyle Magnus Rattray
+	A Statistical Mechanics Analysis of Gram Matrix Eigenvalue Spectra	2004	David C. Hoyle Magnus Rattray
+	RNA-based Phylogenetic Methods: Application to Mammalian Mitochondrial RNA Sequences	2004	Cendrine Hudelot Vivek Gowri-Shankar Howsun Jow Magnus Rattray Paul G. Higgs
+	Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA	2003	David C. Hoyle Magnus Rattray
+ PDF Chat	The Evolution of tRNA-Leu Genes in Animal Mitochondrial Genomes	2003	Paul G. Higgs Daniel Jameson Howsun Jow Magnus Rattray
+ PDF Chat	RNA-based phylogenetic methods: application to mammalian mitochondrial RNA sequences	2003	Cendrine Hudelot Vivek Gowri-Shankar Howsun Jow Magnus Rattray Paul G. Higgs
+	The Evolution of tRNA-Leu Genes in Animal Mitochondrial Genomes	2003	Paul G. Higgs Daniel Jameson Howsun Jow Magnus Rattray
+	Statistical Dynamics of On-line Independent Component Analysis	2003	Gleb Basalyga Magnus Rattray
+ PDF Chat	Making sense of microarray data distributions	2002	David C. Hoyle Magnus Rattray Ray Jupp Andy Brass
+ PDF Chat	Stochastic Trapping in a Solvable Model of On-Line Independent Component Analysis	2002	Magnus Rattray
+ PDF Chat	Cumulant Dynamics of a Population under Multiplicative Selection, Mutation, and Drift	2001	Magnus Rattray Jonathan Shapiro
+	Stochastic trapping in a solvable model of on-line independent component analysis	2001	Magnus Rattray
+	Stochastic trapping in a solvable model of on-line independent component analysis	2001	Magnus Rattray
+	Cumulant Dynamics of a Population under Multiplicative Selection, Mutation and Drift	1999	Magnus Rattray Jonathan Shapiro
+ PDF Chat	Analysis of natural gradient descent for multilayer neural networks	1999	Magnus Rattray David Saad
+	Cumulant Dynamics of a Population under Multiplicative Selection, Mutation and Drift	1999	Magnus Rattray Jonathan Shapiro
+ PDF Chat	The dynamics of a genetic algorithm for a simple learning problem	1996	Magnus Rattray Jonathan Shapiro

Common Coauthors

Coauthor	Papers Together
Neil D. Lawrence	12
James Hensman	11
Antti Honkela	8
Panagiotis Papastamoulis	8
David C. Hoyle	5
Jonathan Shapiro	4
Korbinian Grote	4
Hendrik G. Stunnenberg	4
Peter Glaus	4
Howsun Jow	4
Filomena Matarese	4
Paul G. Higgs	4
George Reid	3
Ciira wa Maina	3
Nicolas Durrande	2
Christopher A. Penfold	2
Murray Grant	2
Daniel Jameson	2
Vivek Gowri-Shankar	2
Cendrine Hudelot	2
Jaakko Peltonen	1
Kevin Sharp	1
Xiaoyu Jiang	1
Ray Jupp	1
Cerys Manning	1
Jing Yang	1
Gleb Basalyga	1
Sokratia Georgaka	1
Takanori Furukawa	1
David Saad	1
Nancy Papalopulu	1
Andy Brass	1
Iryna Charapitsa	1
Oliver Stegle	1
George C. Reid	1
Michael J. Bromley	1
Nick E. Phillips	1
Norman van Rhijn	1
Jing Yang	1
Hande Topa	1
Elaine Bignell	1
Mauricio A. Álvarez	1
John Winn	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Identifying differentially expressed transcripts from RNA-seq data with biological variation	2012	Peter Glaus Antti Honkela Magnus Rattray	6
+ PDF Chat	Overlapping Mixtures of Gaussian Processes for the data association problem	2011	Miguel Lázaro-Gredilla Steven Van Vaerenbergh Neil D. Lawrence	4
+	Signal detection via spectral theory of large dimensional random matrices	1992	Jack W. Silverstein Patrick L. Combettes	4
+	Reversible Jump MCMC in mixtures of normal distributions with the same component means	2008	Panagiotis Papastamoulis George Iliopoulos	4
+	Reversible jump Markov chain Monte Carlo computation and Bayesian model determination	1995	Peter J. Green	4
+ PDF Chat	On the distribution of the largest eigenvalue in principal components analysis	2001	Iain M. Johnstone	3
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	3
+	Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images	1984	Stuart Geman Donald Geman	3
+	An invariant form for the prior probability in estimation problems	1946	Harold Jeffreys	3
+	Gene expression divergence recapitulates the developmental hourglass model	2010	Alex T. Kalinka Karolina M. Varga Dave T. Gerrard Stephan Preibisch David L. Corcoran Julia Jarrells Uwe Ohler Casey Bergman Pavel Tomančák	3
+	DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES	1967	V A Marčenko L. А. Pastur	3
+	A Split-Merge Markov chain Monte Carlo Procedure for the Dirichlet Process Mixture Model	2004	Sonia Jain Radford M. Neal	3
+	On the estimation of mixtures of Poisson regression models with large number of components	2014	Panagiotis Papastamoulis Marie-Laure Martin-Magniette Cathy Maugis-Rabusseau	3
+ PDF Chat	Variational inference for Dirichlet process mixtures	2006	David M. Blei Michael I. Jordan	3
+	Sampling-Based Approaches to Calculating Marginal Densities	1990	Alan E. Gelfand A. F. M. Smith	3
+	Quantifying alternative splicing from paired-end RNA-sequencing data	2014	David Rossell Camille Stephan‐Otto Attolini Matthias Kroiß Almond Stöcker	3
+	Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes	2010	Antti Honkela Tapani Raiko Mikael Kuusela Matti Tornio Juha Karhunen	3
+	On Bayesian Analysis of Mixtures with an Unknown Number of Components	1997	Sylvia Richardson Peter J. Green	3
+	Reversible Jump Markov Chain Monte Carlo Computation and Bayesian Model Determination	1995	Peter J. Green	3
+	Online Model Selection Based on the Variational Bayes	2001	Masa-aki Sato	2
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	2
+	Stochastic Variational Inference	2012	Matt Hoffman David M. Blei Chong Wang John Paisley	2
+	Bayesian finite mixtures with an unknown number of components: The allocation sampler	2007	Agostino Nobile Alastair T. Fearnside	2
+	FlexMix: A General Framework for Finite Mixture Models and Latent Class Regression in<i>R</i>	2004	Friedrich Leisch	2
+	Covariance Structure and Convergence Rate of the Gibbs Sampler with Various Scans	1995	Jun S. Liu Wing Hung Wong Augustine Kong	2
+ PDF Chat	Bayesian Modelling and Inference on Mixtures of Distributions	2005	Jean‐Michel Marin Kerrie Mengersen Christian P. Robert	2
+ PDF Chat	The positive false discovery rate: a Bayesian interpretation and the q-value	2003	John D. Storey	2
+ PDF Chat	Eigenvalues and Condition Numbers of Random Matrices	1988	Alan Edelman	2
+ PDF Chat	Asymptotic Theory for Principal Component Analysis	1963	T. W. Anderson	2
+ PDF Chat	RNA-based phylogenetic methods: application to mammalian mitochondrial RNA sequences	2003	Cendrine Hudelot Vivek Gowri-Shankar Howsun Jow Magnus Rattray Paul G. Higgs	2
+ PDF Chat	<b>label.switching</b>: An<i>R</i>Package for Dealing with the Label Switching Problem in MCMC Outputs	2016	Panagiotis Papastamoulis	2
+	Markov Chain Monte Carlo Maximum Likelihood	1991	Charles J. Geyer	2
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	2
+ PDF Chat	Bayesian analysis of mixture models with an unknown number of components—an alternative to reversible jump methods	2000	Matthew Stephens	2
+	Latent-Space Variational Bayes	2008	Jaemo Sung Zoubin Ghahramani Sung-Yang Bang	2
+	CODA: convergence diagnosis and output analysis for MCMC	2006	Martyn Plummer Nicky Best Kate Cowles Karen Vines	2
+ PDF Chat	Dealing With Label Switching in Mixture Models	2000	Matthew Stephens	2
+ PDF Chat	Annealing Markov Chain Monte Carlo with Applications to Ancestral Inference	1995	Charles J. Geyer E. A. Thompson	2
+	The Collapsed Gibbs Sampler in Bayesian Computations with Applications to a Gene Regulation Problem	1994	Jun S. Liu	2
+ PDF Chat	Optimal Sample Size for Multiple Testing	2004	Peter Müller Giovanni Parmigiani Christian P. Robert Judith Rousseau	2
+ PDF Chat	Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler	2014	Arthur White Jason Wyse Thomas Brendan Murphy	2
+	On the Convergence Rate of Random Permutation Sampler and ECR Algorithm in Missing Data Models	2011	Panagiotis Papastamoulis George Iliopoulos	2
+	An Artificial Allocations Based Solution to the Label Switching Problem in Bayesian Analysis of Mixtures of Distributions	2010	Panagiotis Papastamoulis George Iliopoulos	2
+ PDF Chat	Fast and accurate approximate inference of transcript expression from RNA-seq data	2015	James Hensman Panagiotis Papastamoulis Peter Glaus Antti Honkela Magnus Rattray	2
+ PDF Chat	Multivariate Bernoulli Mixture Models with Application to Postmortem Tissue Studies in Schizophrenia	2007	Zhuoxin Sun Ori Rosen Allan R. Sampson	2
+	Mixture Densities, Maximum Likelihood and the EM Algorithm	1984	Richard A. Redner Homer F. Walker	2
+	FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters	2008	Bettina Grün Friedrich Leisch	2
+ PDF Chat	FDR and Bayesian Multiple Comparisons Rules	2007	Peter Müller Giovanni Parmigiani Kenneth Rice	2
+	Handling the Label Switching Problem in Latent Class Models Via the ECR Algorithm	2013	Panagiotis Papastamoulis	2
+ PDF Chat	Label Switching in Bayesian Mixture Models: Deterministic Relabeling Strategies	2012	Carlos E. Rodríguez Stephen G. Walker	2