Magnus Rattray
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Cited by
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
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
Identifying differentially expressed transcripts from RNA-seq data with biological variation
P Glaus, A Honkela, M Rattray
Bioinformatics 28 (13), 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
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
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
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
Making sense of microarray data distributions
DC Hoyle, M Rattray, R Jupp, A Brass
Bioinformatics 18 (4), 576-584, 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
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
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
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
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
G Sanguinetti, ND Lawrence, M Rattray
Bioinformatics 22 (22), 2775-2781, 2006
Modelling transcriptional regulation using Gaussian processes
N Lawrence, G Sanguinetti, M Rattray
Advances in Neural Information Processing Systems 19, 2006
Fast variational inference in the conjugate exponential family
J Hensman, M Rattray, N Lawrence
Advances in neural information processing systems 25, 2012
Distinguishing asthma phenotypes using machine learning approaches
R Howard, M Rattray, M Prosperi, A Custovic
Current allergy and asthma reports 15 (7), 38, 2015
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
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
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
Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters
J Hensman, ND Lawrence, M Rattray
BMC bioinformatics 14, 1-12, 2013
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Articles 1–20