| 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 | 404 | 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 | 348 | 2016 |
| Identifying differentially expressed transcripts from RNA-seq data with biological variation P Glaus, A Honkela, M Rattray Bioinformatics 28 (13), 2012 | 266 | 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 | 241 | 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 | 240 | 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 | 223 | 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 | 209 | 2005 |
| 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 | 197 | 2002 |
| Making sense of microarray data distributions DC Hoyle, M Rattray, R Jupp, A Brass Bioinformatics 18 (4), 576-584, 2002 | 197 | 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 | 194 | 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 | 187 | 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 | 148 | 2013 |
| Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities G Sanguinetti, ND Lawrence, M Rattray Bioinformatics 22 (22), 2775-2781, 2006 | 141 | 2006 |
| Modelling transcriptional regulation using Gaussian processes N Lawrence, G Sanguinetti, M Rattray Advances in Neural Information Processing Systems 19, 2006 | 141 | 2006 |
| Fast variational inference in the conjugate exponential family J Hensman, M Rattray, N Lawrence Advances in neural information processing systems 25, 2012 | 134 | 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 | 131 | 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 | 131 | 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 | 129 | 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 | 128 | 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 | 126 | 2013 |
Neil D. LawrenceUniversity of CambridgeVerified email at cl.cam.ac.uk
