Magnus Rattray

According to our database, Magnus Rattray authored at least 56 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GPMelt: A hierarchical Gaussian process framework to explore the dark meltome of thermal proteome profiling experiments.

Cécile Le Sueur, Magnus Rattray, Mikhail Savitski

PLoS Comput. Biol., 2024

Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference.

Xiaoyu Jiang, Sokratia Georgaka, Magnus Rattray, Mauricio A. Álvarez

CoRR, 2024

2023

Modelling sequential branching dynamics with a multivariate branching Gaussian process.

Elvijs Sarkans, Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas

Trans. Mach. Learn. Res., 2023

SynBa: improved estimation of drug combination synergies with uncertainty quantification.

Haoting Zhang, Carl Henrik Ek, Magnus Rattray, Marta Milo

Bioinform., 2023

2022

Scalable inference of transcriptional kinetic parameters from MS2 time series data.

Jonathan R. Bowles, Caroline Hoppe, Hilary L. Ashe, Magnus Rattray

Bioinform., 2022

2021

Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments.

Nuha Bintayyash, Sokratia Georgaka, S. T. John, Sumon Ahmed, Alexis Boukouvalas, James Hensman, Magnus Rattray

Bioinform., 2021

2020

OscoNet: inferring oscillatory gene networks.

Luisa Cutillo, Alexis Boukouvalas, Elli Marinopoulou, Nancy Papalopulu, Magnus Rattray

BMC Bioinform., 2020

HiChIP-Peaks: a HiChIP peak calling algorithm.

Chenfu Shi, Magnus Rattray, Gisela Orozco

Bioinform., 2020

2019

GrandPrix: scaling up the Bayesian GPLVM for single-cell data.

Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas

Bioinform., 2019

2018

Trajectory inference and parameter estimation in stochastic models with temporally aggregated data.

Maria Myrto Folia, Magnus Rattray

Stat. Comput., 2018

2017

BayesBinMix: an R Package for Model Based Clustering of Multivariate Binary Data.

Panagiotis Papastamoulis, Magnus Rattray

R J., 2017

Efficient inference for sparse latent variable models of transcriptional regulation.

Zhenwen Dai, Mudassar Iqbal, Neil D. Lawrence, Magnus Rattray

Bioinform., 2017

2016

Detecting periodicities with Gaussian processes.

Nicolas Durrande, James Hensman, Magnus Rattray, Neil D. Lawrence

PeerJ Prepr., 2016

Inferring the perturbation time from biological time course data.

Jing Yang, Christopher A. Penfold, Murray R. Grant, Magnus Rattray

Bioinform., 2016

2015

Fast Nonparametric Clustering of Structured Time-Series.

James Hensman, Magnus Rattray, Neil D. Lawrence

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Fast and accurate approximate inference of transcript expression from RNA-seq data.

James Hensman, Panagiotis Papastamoulis, Peter Glaus, Antti Honkela, Magnus Rattray

Bioinform., 2015

2014

Inference of RNA Polymerase II Transcription Dynamics from Chromatin Immunoprecipitation Time Course Data.

Ciira Wa Maina, Antti Honkela, Filomena Matarese, Korbinian Grote, Hendrik G. Stunnenberg, George Reid, Neil D. Lawrence, Magnus Rattray

PLoS Comput. Biol., 2014

Fast variational inference for nonparametric clustering of structured time-series.

James Hensman, Magnus Rattray, Neil D. Lawrence

CoRR, 2014

2013

puma 3.0: improved uncertainty propagation methods for gene and transcript expression analysis.

Xuejun Liu, Zhenzhu Gao, Li Zhang, Magnus Rattray

BMC Bioinform., 2013

Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters.

James Hensman, Neil D. Lawrence, Magnus Rattray

BMC Bioinform., 2013

2012

Identifying targets of multiple co-regulating transcription factors from expression time-series by Bayesian model comparison.

Michalis K. Titsias, Antti Honkela, Neil D. Lawrence, Magnus Rattray

BMC Syst. Biol., 2012

Identifying differentially expressed transcripts from RNA-seq data with biological variation.

Peter Glaus, Antti Honkela, Magnus Rattray

Bioinform., 2012

Fast Variational Inference in the Conjugate Exponential Family.

James Hensman, Magnus Rattray, Neil D. Lawrence

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

tigre: Transcription factor inference through gaussian process reconstruction of expression for bioconductor.

Antti Honkela, Pei Gao, Jonatan Ropponen, Magnus Rattray, Neil D. Lawrence

Bioinform., 2011

2010

Model-based method for transcription factor target identification with limited data.

Antti Honkela, Charles Girardot, Eleanor Hilary Gustafson, Ya-Hsin Liu, Eileen E. M. Furlong, Neil D. Lawrence, Magnus Rattray

Proc. Natl. Acad. Sci. USA, 2010

Dense Message Passing for Sparse Principal Component Analysis.

Kevin Sharp, Magnus Rattray

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

TFInfer: a tool for probabilistic inference of transcription factor activities.

Hafiz Muhammad Shahzad Asif, Matthew D. Rolfe, Jeffrey Green, Neil D. Lawrence, Magnus Rattray, Guido Sanguinetti

Bioinform., 2010

Gaussian Processes for Missing Species in Biochemical Systems.

Neil D. Lawrence, Magnus Rattray, Pei Gao, Michalis K. Titsias

Proceedings of the Learning and Inference in Computational Systems Biology., 2010

A Brief Introduction to Bayesian Inference.

Neil D. Lawrence, Magnus Rattray

Proceedings of the Learning and Inference in Computational Systems Biology., 2010

2009

puma: a Bioconductor package for propagating uncertainty in microarray analysis.

Richard D. Pearson, Xuejun Liu, Guido Sanguinetti, Marta Milo, Neil D. Lawrence, Magnus Rattray

BMC Bioinform., 2009

2008

Bayesian inference of the sites of perturbations in metabolic pathways via Markov chain Monte Carlo.

Bayu Jayawardhana, Douglas B. Kell, Magnus Rattray

Bioinform., 2008

Efficient Sampling for Gaussian Process Inference using Control Variables.

Michalis K. Titsias, Neil D. Lawrence, Magnus Rattray

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities.

Pei Gao, Antti Honkela, Magnus Rattray, Neil D. Lawrence

Proceedings of the ECCB'08 Proceedings, 2008

2007

A Methodology for Comparative Functional Genomics.

Intikhab Alam, Mike Cornell, Darren M. Soanes, Cornelia Hedeler, Han Min Wong, Magnus Rattray, Simon J. Hubbard, Nicholas J. Talbot, Stephen G. Oliver, Norman W. Paton

J. Integr. Bioinform., 2007

Including probe-level uncertainty in model-based gene expression clustering.

Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Rattray

BMC Bioinform., 2007

A probabilistic model for generating realistic lip movements from speech.

Gwenn Englebienne, Timothy F. Cootes, Magnus Rattray

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription.

Guido Sanguinetti, Magnus Rattray, Neil D. Lawrence

Bioinform., 2006

Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities.

Guido Sanguinetti, Neil D. Lawrence, Magnus Rattray

Bioinform., 2006

Probe-level measurement error improves accuracy in detecting differential gene expression.

Xuejun Liu, Marta Milo, Neil D. Lawrence, Magnus Rattray

Bioinform., 2006

Propagating uncertainty in microarray data analysis.

Magnus Rattray, Xuejun Liu, Guido Sanguinetti, Marta Milo, Neil D. Lawrence

Briefings Bioinform., 2006

Modelling transcriptional regulation using Gaussian Processes.

Neil D. Lawrence, Guido Sanguinetti, Magnus Rattray

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Identifying Submodules of Cellular Regulatory Networks.

Guido Sanguinetti, Magnus Rattray, Neil D. Lawrence

Proceedings of the Computational Methods in Systems Biology, International Conference, 2006

2005

Accounting for probe-level noise in principal component analysis of microarray data.

Guido Sanguinetti, Marta Milo, Magnus Rattray, Neil D. Lawrence

Bioinform., 2005

A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips.

Xuejun Liu, Marta Milo, Neil D. Lawrence, Magnus Rattray

Bioinform., 2005

2004

A Statistical Mechanics Analysis of Gram Matrix Eigenvalue Spectra.

David C. Hoyle, Magnus Rattray

Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004

2003

Statistical Dynamics of On-line Independent Component Analysis.

Gleb Basalyga, Magnus Rattray

J. Mach. Learn. Res., 2003

Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA.

David C. Hoyle, Magnus Rattray

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

Stochastic Trapping in a Solvable Model of On-Line Independent Component Analysis.

Magnus Rattray

Neural Comput., 2002

Making sense of microarray data distributions.

David C. Hoyle, Magnus Rattray, Ray Jupp, Andy Brass

Bioinform., 2002

Dynamics of ICA for High-Dimensional Data.

Gleb Basalyga, Magnus Rattray

Proceedings of the Artificial Neural Networks, 2002

2001

Scaling Laws and Local Minima in Hebbian ICA.

Magnus Rattray, Gleb Basalyga

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

A Model-Based Distance for Clustering.

Magnus Rattray

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1997

Globally Optimal On-line Learning Rules.

Magnus Rattray, David Saad

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996

Noisy Fitness Evaluation in Genetic Algorithms and the Dynamics of Learning.

Magnus Rattray, Jonathan Shapiro

Proceedings of the 4th Workshop on Foundations of Genetic Algorithms. San Diego, 1996

1995

The Dynamics of a Genetic Algorithm under Stabilizing Selection.

Magnus Rattray

Complex Syst., 1995

1994

A Statistical Mechanical Formulation of the Dynamics of Genetic Algorithms.

Jonathan Shapiro, Adam Prügel-Bennett, Magnus Rattray

Proceedings of the Evolutionary Computing, 1994