Magnus Rattray

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 16

Top Topics

Gaussian Process

Variational Inference

Stochastic Models

Top Venues

Publications

Xiaoyu Jiang, Sokratia Georgaka, Magnus Rattray, Mauricio A. Álvarez
Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference. CoRR (2024)
Elvijs Sarkans, Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas
Modelling sequential branching dynamics with a multivariate branching Gaussian process. Trans. Mach. Learn. Res. 2023 (2023)
Haoting Zhang, Carl Henrik Ek, Magnus Rattray, Marta Milo
SynBa: improved estimation of drug combination synergies with uncertainty quantification. Bioinform. 39 (Supplement-1) (2023)
Jonathan R. Bowles, Caroline Hoppe, Hilary L. Ashe, Magnus Rattray
Scalable inference of transcriptional kinetic parameters from MS2 time series data. Bioinform. 38 (4) (2022)
Nuha Bintayyash, Sokratia Georgaka, S. T. John, Sumon Ahmed, Alexis Boukouvalas, James Hensman, Magnus Rattray
Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments. Bioinform. 37 (21) (2021)
Chenfu Shi, Magnus Rattray, Gisela Orozco
HiChIP-Peaks: a HiChIP peak calling algorithm. Bioinform. 36 (12) (2020)
Luisa Cutillo, Alexis Boukouvalas, Elli Marinopoulou, Nancy Papalopulu, Magnus Rattray
OscoNet: inferring oscillatory gene networks. BMC Bioinform. (10) (2020)
Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas
GrandPrix: scaling up the Bayesian GPLVM for single-cell data. Bioinform. 35 (1) (2019)
Maria Myrto Folia, Magnus Rattray
Trajectory inference and parameter estimation in stochastic models with temporally aggregated data. Stat. Comput. 28 (5) (2018)
Zhenwen Dai, Mudassar Iqbal, Neil D. Lawrence, Magnus Rattray
Efficient inference for sparse latent variable models of transcriptional regulation. Bioinform. 33 (23) (2017)
Panagiotis Papastamoulis, Magnus Rattray
BayesBinMix: an R Package for Model Based Clustering of Multivariate Binary Data. R J. 9 (1) (2017)
Nicolas Durrande, James Hensman, Magnus Rattray, Neil D. Lawrence
Detecting periodicities with Gaussian processes. PeerJ Comput. Sci. 2 (2016)
Jing Yang, Christopher A. Penfold, Murray R. Grant, Magnus Rattray
Inferring the perturbation time from biological time course data. Bioinform. 32 (19) (2016)
Nicolas Durrande, James Hensman, Magnus Rattray, Neil D. Lawrence
Detecting periodicities with Gaussian processes. PeerJ Prepr. 4 (2016)
James Hensman, Panagiotis Papastamoulis, Peter Glaus, Antti Honkela, Magnus Rattray
Fast and accurate approximate inference of transcript expression from RNA-seq data. Bioinform. 31 (24) (2015)
James Hensman, Magnus Rattray, Neil D. Lawrence
Fast Nonparametric Clustering of Structured Time-Series. IEEE Trans. Pattern Anal. Mach. Intell. 37 (2) (2015)
Ciira Wa Maina, Antti Honkela, Filomena Matarese, Korbinian Grote, Hendrik G. Stunnenberg, George Reid, Neil D. Lawrence, Magnus Rattray
Inference of RNA Polymerase II Transcription Dynamics from Chromatin Immunoprecipitation Time Course Data. PLoS Comput. Biol. 10 (5) (2014)
James Hensman, Magnus Rattray, Neil D. Lawrence
Fast variational inference for nonparametric clustering of structured time-series. CoRR (2014)
Xuejun Liu, Zhenzhu Gao, Li Zhang, Magnus Rattray
puma 3.0: improved uncertainty propagation methods for gene and transcript expression analysis. BMC Bioinform. 14 (2013)
James Hensman, Neil D. Lawrence, Magnus Rattray
Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters. BMC Bioinform. 14 (2013)
Peter Glaus, Antti Honkela, Magnus Rattray
Identifying differentially expressed transcripts from RNA-seq data with biological variation. Bioinform. 28 (13) (2012)
Michalis K. Titsias, Antti Honkela, Neil D. Lawrence, Magnus Rattray
Identifying targets of multiple co-regulating transcription factors from expression time-series by Bayesian model comparison. BMC Syst. Biol. 6 (2012)
James Hensman, Magnus Rattray, Neil D. Lawrence
Fast Variational Inference in the Conjugate Exponential Family CoRR (2012)
James Hensman, Magnus Rattray, Neil D. Lawrence
Fast Variational Inference in the Conjugate Exponential Family. NIPS (2012)
Antti Honkela, Pei Gao, Jonatan Ropponen, Magnus Rattray, Neil D. Lawrence
tigre: Transcription factor inference through gaussian process reconstruction of expression for bioconductor. Bioinform. 27 (7) (2011)
Kevin Sharp, Magnus Rattray
Dense Message Passing for Sparse Principal Component Analysis. AISTATS (2010)
Antti Honkela, Charles Girardot, Eleanor Hilary Gustafson, Ya-Hsin Liu, Eileen E. M. Furlong, Neil D. Lawrence, Magnus Rattray
Model-based method for transcription factor target identification with limited data. Proc. Natl. Acad. Sci. USA 107 (17) (2010)
Hafiz Muhammad Shahzad Asif, Matthew D. Rolfe, Jeffrey Green, Neil D. Lawrence, Magnus Rattray, Guido Sanguinetti
TFInfer: a tool for probabilistic inference of transcription factor activities. Bioinform. 26 (20) (2010)
Richard D. Pearson, Xuejun Liu, Guido Sanguinetti, Marta Milo, Neil D. Lawrence, Magnus Rattray
puma: a Bioconductor package for propagating uncertainty in microarray analysis. BMC Bioinform. 10 (2009)
Michalis K. Titsias, Neil D. Lawrence, Magnus Rattray
Efficient Sampling for Gaussian Process Inference using Control Variables. NIPS (2008)
Pei Gao, Antti Honkela, Magnus Rattray, Neil D. Lawrence
Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities. ECCB (2008)
Bayu Jayawardhana, Douglas B. Kell, Magnus Rattray
Bayesian inference of the sites of perturbations in metabolic pathways via Markov chain Monte Carlo. Bioinform. 24 (9) (2008)
Gwenn Englebienne, Timothy F. Cootes, Magnus Rattray
A probabilistic model for generating realistic lip movements from speech. NIPS (2007)
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
A Methodology for Comparative Functional Genomics. J. Integr. Bioinform. 4 (3) (2007)
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Rattray
Including probe-level uncertainty in model-based gene expression clustering. BMC Bioinform. 8 (2007)
Neil D. Lawrence, Guido Sanguinetti, Magnus Rattray
Modelling transcriptional regulation using Gaussian Processes. NIPS (2006)
Xuejun Liu, Marta Milo, Neil D. Lawrence, Magnus Rattray
Probe-level measurement error improves accuracy in detecting differential gene expression. Bioinform. 22 (17) (2006)
Guido Sanguinetti, Magnus Rattray, Neil D. Lawrence
Identifying Submodules of Cellular Regulatory Networks. CMSB (2006)
Guido Sanguinetti, Neil D. Lawrence, Magnus Rattray
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities. Bioinform. 22 (22) (2006)
Guido Sanguinetti, Magnus Rattray, Neil D. Lawrence
A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription. Bioinform. 22 (14) (2006)
Magnus Rattray, Xuejun Liu, Guido Sanguinetti, Marta Milo, Neil D. Lawrence
Propagating uncertainty in microarray data analysis. Briefings Bioinform. 7 (1) (2006)
Xuejun Liu, Marta Milo, Neil D. Lawrence, Magnus Rattray
A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips. Bioinform. 21 (18) (2005)
Guido Sanguinetti, Marta Milo, Magnus Rattray, Neil D. Lawrence
Accounting for probe-level noise in principal component analysis of microarray data. Bioinform. 21 (19) (2005)
David C. Hoyle, Magnus Rattray
A Statistical Mechanics Analysis of Gram Matrix Eigenvalue Spectra. COLT (2004)
David C. Hoyle, Magnus Rattray
Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA. NIPS (2003)
Gleb Basalyga, Magnus Rattray
Statistical Dynamics of On-line Independent Component Analysis. J. Mach. Learn. Res. 4 (2003)
Gleb Basalyga, Magnus Rattray
Dynamics of ICA for High-Dimensional Data. ICANN (2002)
David C. Hoyle, Magnus Rattray, Ray Jupp, Andy Brass
Making sense of microarray data distributions. Bioinform. 18 (4) (2002)
Magnus Rattray
Stochastic Trapping in a Solvable Model of On-Line Independent Component Analysis. Neural Comput. 14 (2) (2002)
Magnus Rattray, Gleb Basalyga
Scaling Laws and Local Minima in Hebbian ICA. NIPS (2001)
Magnus Rattray
A Model-Based Distance for Clustering. IJCNN (4) (2000)
Magnus Rattray, David Saad
Globally Optimal On-line Learning Rules. NIPS (1997)
Magnus Rattray, Jonathan Shapiro
Noisy Fitness Evaluation in Genetic Algorithms and the Dynamics of Learning. FOGA (1996)
Magnus Rattray
The Dynamics of a Genetic Algorithm under Stabilizing Selection. Complex Syst. 9 (3) (1995)
Jonathan Shapiro, Adam Prügel-Bennett, Magnus Rattray
A Statistical Mechanical Formulation of the Dynamics of Genetic Algorithms. Evolutionary Computing, AISB Workshop (1994)