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BMC Bioinformatics|August 22, 2013
Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clustersJames Hensman, Neil D Lawrence, Magnus RattrayIEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Fast Nonparametric Clustering of Structured Time-SeriesJames Hensman, Magnus Rattray, Neil D LawrenceGenome Biology|May 31, 2018
BGP: identifying gene-specific branching dynamics from single-cell data with a branching Gaussian processAlexis Boukouvalas, James Hensman, Magnus RattrayStatistical Applications in Genetics and Molecular Biology|January 14, 2014
Improved variational Bayes inference for transcript expression estimationPanagiotis Papastamoulis, James Hensman, Peter Glaus, et al.Methods in Molecular Biology (Clifton, N.J.)|November 30, 2012
Mining regulatory network connections by ranking transcription factor target genes using time series expression dataAntti Honkela, Magnus Rattray, Neil D LawrenceBioinformatics (Oxford, England)|September 13, 2006
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activitiesGuido Sanguinetti, Neil D Lawrence, Magnus RattrayBioinformatics (Oxford, England)|April 25, 2006
A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcriptionGuido Sanguinetti, Magnus Rattray, Neil D LawrenceBioinformatics (Oxford, England)|August 29, 2015
Fast and accurate approximate inference of transcript expression from RNA-seq dataJames Hensman, Panagiotis Papastamoulis, Peter Glaus, et al.Bioinformatics (Oxford, England)|July 16, 2005
A tractable probabilistic model for Affymetrix probe-level analysis across multiple chipsXuejun Liu, Marta Milo, Neil D Lawrence, et al.Bioinformatics (Oxford, England)|August 11, 2005
Accounting for probe-level noise in principal component analysis of microarray dataGuido Sanguinetti, Marta Milo, Magnus Rattray, et al.Pageof 13