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2020 – today
- 2024
[i4]Xiaoyu Jiang, Sokratia Georgaka, Magnus Rattray, Mauricio A. Álvarez:
Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference. CoRR abs/2407.02476 (2024)- 2023
- [j36]Haoting Zhang, Carl Henrik Ek, Magnus Rattray
, Marta Milo:
SynBa: improved estimation of drug combination synergies with uncertainty quantification. Bioinform. 39(Supplement-1): 121-130 (2023) - [j35]Elvijs Sarkans, Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas:
Modelling sequential branching dynamics with a multivariate branching Gaussian process. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j34]Jonathan R. Bowles, Caroline Hoppe, Hilary L. Ashe, Magnus Rattray:
Scalable inference of transcriptional kinetic parameters from MS2 time series data. Bioinform. 38(4): 1030-1036 (2022) - 2021
- [j33]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): 3788-3795 (2021) - 2020
- [j32]Chenfu Shi, Magnus Rattray, Gisela Orozco:
HiChIP-Peaks: a HiChIP peak calling algorithm. Bioinform. 36(12): 3625-3631 (2020) - [j31]Luisa Cutillo, Alexis Boukouvalas, Elli Marinopoulou, Nancy Papalopulu, Magnus Rattray:
OscoNet: inferring oscillatory gene networks. BMC Bioinform. 21-S(10): 351 (2020)
2010 – 2019
- 2019
- [j30]Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas:
GrandPrix: scaling up the Bayesian GPLVM for single-cell data. Bioinform. 35(1): 47-54 (2019) - 2018
- [j29]Maria Myrto Folia, Magnus Rattray:
Trajectory inference and parameter estimation in stochastic models with temporally aggregated data. Stat. Comput. 28(5): 1053-1072 (2018) - 2017
- [j28]Zhenwen Dai, Mudassar Iqbal, Neil D. Lawrence, Magnus Rattray:
Efficient inference for sparse latent variable models of transcriptional regulation. Bioinform. 33(23): 3776-3783 (2017) - [j27]Panagiotis Papastamoulis, Magnus Rattray:
BayesBinMix: an R Package for Model Based Clustering of Multivariate Binary Data. R J. 9(1): 403 (2017) - 2016
- [j26]Jing Yang, Christopher A. Penfold, Murray R. Grant, Magnus Rattray:
Inferring the perturbation time from biological time course data. Bioinform. 32(19): 2956-2964 (2016) - [j25]Nicolas Durrande, James Hensman, Magnus Rattray, Neil D. Lawrence:
Detecting periodicities with Gaussian processes. PeerJ Comput. Sci. 2: e50 (2016) - [i3]Nicolas Durrande, James Hensman, Magnus Rattray, Neil D. Lawrence:
Detecting periodicities with Gaussian processes. PeerJ Prepr. 4: e1743 (2016) - 2015
- [j24]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): 3881-3889 (2015) - [j23]James Hensman, Magnus Rattray, Neil D. Lawrence:
Fast Nonparametric Clustering of Structured Time-Series. IEEE Trans. Pattern Anal. Mach. Intell. 37(2): 383-393 (2015) - 2014
- [j22]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) - [i2]James Hensman, Magnus Rattray, Neil D. Lawrence:
Fast variational inference for nonparametric clustering of structured time-series. CoRR abs/1401.1605 (2014) - 2013
- [j21]Xuejun Liu, Zhenzhu Gao, Li Zhang, Magnus Rattray:
puma 3.0: improved uncertainty propagation methods for gene and transcript expression analysis. BMC Bioinform. 14: 39 (2013) - [j20]James Hensman, Neil D. Lawrence, Magnus Rattray:
Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters. BMC Bioinform. 14: 252 (2013) - 2012
- [j19]Peter Glaus, Antti Honkela, Magnus Rattray:
Identifying differentially expressed transcripts from RNA-seq data with biological variation. Bioinform. 28(13): 1721-1728 (2012) - [j18]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: 53 (2012) - [c15]James Hensman, Magnus Rattray, Neil D. Lawrence:
Fast Variational Inference in the Conjugate Exponential Family. NIPS 2012: 2897-2905 - [i1]James Hensman, Magnus Rattray, Neil D. Lawrence:
Fast Variational Inference in the Conjugate Exponential Family. CoRR abs/1206.5162 (2012) - 2011
- [j17]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): 1026-1027 (2011) - 2010
- [j16]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): 2635-2636 (2010) - [j15]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): 7793-7798 (2010) - [c14]Kevin Sharp, Magnus Rattray:
Dense Message Passing for Sparse Principal Component Analysis. AISTATS 2010: 725-732 - [p2]Neil D. Lawrence, Magnus Rattray:
A Brief Introduction to Bayesian Inference. Learning and Inference in Computational Systems Biology 2010: 97-116 - [p1]Neil D. Lawrence, Magnus Rattray, Pei Gao, Michalis K. Titsias:
Gaussian Processes for Missing Species in Biochemical Systems. Learning and Inference in Computational Systems Biology 2010: 231-252 - [e1]Neil D. Lawrence, Mark A. Girolami, Magnus Rattray, Guido Sanguinetti:
Learning and Inference in Computational Systems Biology. Computational molecular biology, MIT Press 2010, ISBN 978-0-262-01386-4 [contents]
2000 – 2009
- 2009
- [j14]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) - 2008
- [j13]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): 1191-1197 (2008) - [c13]Pei Gao, Antti Honkela, Magnus Rattray, Neil D. Lawrence:
Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities. ECCB 2008: 70-75 - [c12]Michalis K. Titsias, Neil D. Lawrence, Magnus Rattray:
Efficient Sampling for Gaussian Process Inference using Control Variables. NIPS 2008: 1681-1688 - 2007
- [j12]Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Rattray:
Including probe-level uncertainty in model-based gene expression clustering. BMC Bioinform. 8 (2007) - [j11]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) - [c11]Gwenn Englebienne, Timothy F. Cootes, Magnus Rattray:
A probabilistic model for generating realistic lip movements from speech. NIPS 2007: 401-408 - 2006
- [j10]Magnus Rattray, Xuejun Liu, Guido Sanguinetti, Marta Milo, Neil D. Lawrence:
Propagating uncertainty in microarray data analysis. Briefings Bioinform. 7(1): 37-47 (2006) - [j9]Guido Sanguinetti, Magnus Rattray, Neil D. Lawrence:
A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription. Bioinform. 22(14): 1753-1759 (2006) - [j8]Xuejun Liu, Marta Milo, Neil D. Lawrence, Magnus Rattray:
Probe-level measurement error improves accuracy in detecting differential gene expression. Bioinform. 22(17): 2107-2113 (2006) - [j7]Guido Sanguinetti, Neil D. Lawrence, Magnus Rattray:
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities. Bioinform. 22(22): 2775-2781 (2006) - [c10]Guido Sanguinetti, Magnus Rattray, Neil D. Lawrence:
Identifying Submodules of Cellular Regulatory Networks. CMSB 2006: 155-168 - [c9]Neil D. Lawrence, Guido Sanguinetti, Magnus Rattray:
Modelling transcriptional regulation using Gaussian Processes. NIPS 2006: 785-792 - 2005
- [j6]Xuejun Liu, Marta Milo, Neil D. Lawrence, Magnus Rattray:
A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips. Bioinform. 21(18): 3637-3644 (2005) - [j5]Guido Sanguinetti, Marta Milo, Magnus Rattray, Neil D. Lawrence:
Accounting for probe-level noise in principal component analysis of microarray data. Bioinform. 21(19): 3748-3754 (2005) - 2004
- [c8]David C. Hoyle, Magnus Rattray:
A Statistical Mechanics Analysis of Gram Matrix Eigenvalue Spectra. COLT 2004: 579-593 - 2003
- [j4]Gleb Basalyga, Magnus Rattray:
Statistical Dynamics of On-line Independent Component Analysis. J. Mach. Learn. Res. 4: 1393-1410 (2003) - [c7]David C. Hoyle, Magnus Rattray:
Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA. NIPS 2003: 1181-1188 - 2002
- [j3]David C. Hoyle, Magnus Rattray, Ray Jupp, Andy Brass:
Making sense of microarray data distributions. Bioinform. 18(4): 576-584 (2002) - [j2]Magnus Rattray:
Stochastic Trapping in a Solvable Model of On-Line Independent Component Analysis. Neural Comput. 14(2): 421-435 (2002) - [c6]Gleb Basalyga, Magnus Rattray:
Dynamics of ICA for High-Dimensional Data. ICANN 2002: 1112-1118 - 2001
- [c5]Magnus Rattray, Gleb Basalyga:
Scaling Laws and Local Minima in Hebbian ICA. NIPS 2001: 495-501 - 2000
- [c4]Magnus Rattray:
A Model-Based Distance for Clustering. IJCNN (4) 2000: 13-16
1990 – 1999
- 1997
- [c3]Magnus Rattray, David Saad:
Globally Optimal On-line Learning Rules. NIPS 1997: 322-328 - 1996
- [c2]Magnus Rattray, Jonathan Shapiro:
Noisy Fitness Evaluation in Genetic Algorithms and the Dynamics of Learning. FOGA 1996: 117-139 - 1995
- [j1]Magnus Rattray:
The Dynamics of a Genetic Algorithm under Stabilizing Selection. Complex Syst. 9(3) (1995) - 1994
- [c1]Jonathan Shapiro, Adam Prügel-Bennett, Magnus Rattray:
A Statistical Mechanical Formulation of the Dynamics of Genetic Algorithms. Evolutionary Computing, AISB Workshop 1994: 17-27
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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