Magnus Rattray

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Neil D. LawrenceUniversity of CambridgeVerified email at cl.cam.ac.uk
Antti HonkelaProfessor, University of HelsinkiVerified email at helsinki.fi
James HensmanMicrosoft ResearchVerified email at microsoft.com
Guido SanguinettiReader in Informatics, University of EdinburghVerified email at inf.ed.ac.uk
David SaadAston UniversityVerified email at aston.ac.uk
S.G. OliverUniversity of CambridgeVerified email at cam.ac.uk
Marta MiloData Science Lead, Oncology, Astra Zeneca,Verified email at astrazeneca.com
David C HoyleOakthorpe ConsultingVerified email at oakthorpe-consulting.com
Adnan CustovicProfessor of Paediatric AllergyVerified email at imperial.ac.uk
Paul G HiggsMcMaster UniversityVerified email at mcmaster.ca
simon hubbardProfessor of Computational Biology, University of ManchesterVerified email at manchester.ac.uk
Intikhab AlamKAUSTVerified email at kaust.edu.sa
Norman W. PatonProfessor of Computer Science, University of ManchesterVerified email at manchester.ac.uk
Nick TalbotThe Sainsbury LaboratoryVerified email at tsl.ac.uk
Panagiotis PapastamoulisAssistant Professor, Department of Statistics, Athens University of Economics and BusinessVerified email at aueb.gr
Cornelia HedelerData Architect, NICEVerified email at nice.org.uk
Jonathan ShapiroDepartment of Computer Science, University of ManchesterVerified email at manchester.ac.uk
andy brassProfessor of Bioinformatics, School of Health Sciences, University of ManchesterVerified email at manchester.ac.uk
Cerys ManningPostdoctoral Research Fellow, Faculty of Life Sciences, University of ManchesterVerified email at manchester.ac.uk
Tracy HussellDirector of the Manchester Collaborative Centre for Inflammation Research and Professor ofVerified email at manchester.ac.uk

Magnus Rattray

University of Manchester

Verified email at manchester.ac.uk - Homepage

Bioinformatics Computational Biology Machine Learning Bayesian Statistics


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A genetic study of Wilson’s disease in the United Kingdom AJ Coffey, M Durkie, S Hague, K McLay, J Emmerson, C Lo, S Klaffke, ... Brain 136 (5), 1476-1487, 2013	364	2013
Making sense of big data in health research: towards an EU action plan C Auffray, R Balling, I Barroso, L Bencze, M Benson, J Bergeron, ... Genome medicine 8, 1-13, 2016	305	2016
Identifying differentially expressed transcripts from RNA-seq data with biological variation P Glaus, A Honkela, M Rattray Bioinformatics 28 (13), 2012	247	2012
Gene expression profiling in human neurodegenerative disease J Cooper-Knock, J Kirby, L Ferraiuolo, PR Heath, M Rattray, PJ Shaw Nature Reviews Neurology 8 (9), 518-530, 2012	227	2012
Comparative genome analysis of filamentous fungi reveals gene family expansions associated with fungal pathogenesis DM Soanes, I Alam, M Cornell, HM Wong, C Hedeler, NW Paton, ... PLoS One 3 (6), e2300, 2008	216	2008
Longitudinal immune profiling reveals key myeloid signatures associated with COVID-19 ER Mann, M Menon, SB Knight, JE Konkel, C Jagger, TN Shaw, ... Science immunology 5 (51), eabd6197, 2020	215	2020
A comprehensive analysis of mammalian mitochondrial genome base composition and improved phylogenetic methods A Gibson, V Gowri-Shankar, PG Higgs, M Rattray Molecular Biology and Evolution 22 (2), 251-264, 2005	203	2005
C9ORF72 GGGGCC expanded repeats produce splicing dysregulation which correlates with disease severity in amyotrophic lateral sclerosis J Cooper-Knock, JJ Bury, PR Heath, M Wyles, A Higginbottom, ... PloS one 10 (5), e0127376, 2015	201	2015
Making sense of microarray data distributions DC Hoyle, M Rattray, R Jupp, A Brass Bioinformatics 18 (4), 576-584, 2002	194	2002
Bayesian phylogenetics using an RNA substitution model applied to early mammalian evolution H Jow, C Hudelot, M Rattray, PG Higgs Molecular Biology and Evolution 19 (9), 1591-1601, 2002	191	2002
RNA-based phylogenetic methods: application to mammalian mitochondrial RNA sequences C Hudelot, V Gowri-Shankar, H Jow, M Rattray, PG Higgs Molecular Phylogenetics and Evolution 28 (2), 241-252, 2003	187	2003
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities G Sanguinetti, ND Lawrence, M Rattray Bioinformatics 22 (22), 2775-2781, 2006	140	2006
Modelling transcriptional regulation using Gaussian processes N Lawrence, G Sanguinetti, M Rattray Advances in Neural Information Processing Systems 19, 2006	140	2006
The circadian clock in murine chondrocytes regulates genes controlling key aspects of cartilage homeostasis N Gossan, L Zeef, J Hensman, A Hughes, JF Bateman, L Rowley, ... Arthritis & Rheumatism 65 (9), 2334-2345, 2013	139	2013
Fast variational inference in the conjugate exponential family J Hensman, M Rattray, N Lawrence Advances in neural information processing systems 25, 2012	130	2012
A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips X Liu, M Milo, ND Lawrence, M Rattray Bioinformatics 21 (18), 3637-3644, 2005	130	2005
Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities P Gao, A Honkela, M Rattray, ND Lawrence Bioinformatics 24 (16), i70-i75, 2008	127	2008
Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters J Hensman, ND Lawrence, M Rattray BMC bioinformatics 14 (1), 1-12, 2013	126	2013
Model-based method for transcription factor target identification with limited data A Honkela, C Girardot, EH Gustafson, YH Liu, EEM Furlong, ... Proceedings of the National Academy of Sciences 107 (17), 7793-7798, 2010	123	2010
Distinguishing asthma phenotypes using machine learning approaches R Howard, M Rattray, M Prosperi, A Custovic Current allergy and asthma reports 15 (7), 38, 2015	122	2015

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