Guido Sanguinetti
Guido Sanguinetti
Reader in Informatics, University of Edinburgh
Verified email at
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Cited by
scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells
SJ Clark, R Argelaguet, CA Kapourani, TM Stubbs, HJ Lee, ...
Nature communications 9 (1), 1-9, 2018
Approximation and inference methods for stochastic biochemical kinetics—a tutorial review
D Schnoerr, G Sanguinetti, R Grima
Journal of Physics A: Mathematical and Theoretical 50 (9), 093001, 2017
Transition of Escherichia coli from aerobic to micro-aerobic conditions involves fast and slow reacting regulatory components
JD Partridge, G Sanguinetti, DP Dibden, RE Roberts, RK Poole, J Green
Journal of Biological Chemistry 282 (15), 11230-11237, 2007
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
G Sanguinetti, ND Lawrence, M Rattray
Bioinformatics 22 (22), 2775-2781, 2006
Carbon monoxide-releasing antibacterial molecules target respiration and global transcriptional regulators
KS Davidge, G Sanguinetti, CH Yee, AG Cox, CW McLeod, CE Monk, ...
Journal of Biological Chemistry 284 (7), 4516-4524, 2009
Point process modelling of the Afghan War Diary
A Zammit-Mangion, M Dewar, V Kadirkamanathan, G Sanguinetti
Proceedings of the National Academy of Sciences 109 (31), 12414-12419, 2012
Modelling transcriptional regulation using Gaussian processes
ND Lawrence, G Sanguinetti, M Rattray
Advances in Neural Information Processing Systems, 785-792, 2007
puma: a Bioconductor package for propagating uncertainty in microarray analysis
RD Pearson, X Liu, G Sanguinetti, M Milo, ND Lawrence, M Rattray
BMC bioinformatics 10 (1), 1-10, 2009
Single-trial classification of EEG in a visual object task using ICA and machine learning
AX Stewart, A Nuthmann, G Sanguinetti
Journal of neuroscience methods 228, 1-14, 2014
Automatic determination of the number of clusters using spectral algorithms
G Sanguinetti, J Laidler, ND Lawrence
2005 IEEE Workshop on Machine Learning for Signal Processing, 55-60, 2005
Data-driven statistical learning of temporal logic properties
E Bartocci, L Bortolussi, G Sanguinetti
International conference on formal modeling and analysis of timed systems, 23-37, 2014
Smoothed model checking for uncertain continuous-time Markov chains
L Bortolussi, D Milios, G Sanguinetti
Information and Computation 247, 235-253, 2016
Combining tree-based and dynamical systems for the inference of gene regulatory networks
VA Huynh-Thu, G Sanguinetti
Bioinformatics 31 (10), 1614-1622, 2015
Transcript profiling and inference of Escherichia coli K-12 ArcA activity across the range of physiologically relevant oxygen concentrations
MD Rolfe, A Ter Beek, AI Graham, EW Trotter, HMS Asif, G Sanguinetti, ...
Journal of Biological Chemistry 286 (12), 10147-10154, 2011
Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface
M Jeusfeld, L Delcambre, TW Ling
Network of epistatic interactions within a yeast snoRNA
O Puchta, B Cseke, H Czaja, D Tollervey, G Sanguinetti, G Kudla
Science 352 (6287), 840-844, 2016
Transcription factor binding predicts histone modifications in human cell lines
D Benveniste, HJ Sonntag, G Sanguinetti, D Sproul
Proceedings of the National Academy of Sciences 111 (37), 13367-13372, 2014
Accounting for probe-level noise in principal component analysis of microarray data
G Sanguinetti, M Milo, M Rattray, ND Lawrence
Bioinformatics 21 (19), 3748-3754, 2005
Variational inference for Markov jump processes
M Opper, G Sanguinetti
Advances in neural information processing systems, 1105-1112, 2008
Comparison of different moment-closure approximations for stochastic chemical kinetics
D Schnoerr, G Sanguinetti, R Grima
The Journal of Chemical Physics 143 (18), 11B610_1, 2015
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