| 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), 781, 2018 | 520 | 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 | 310 | 2017 |
| Multi-omics profiling of mouse gastrulation at single-cell resolution R Argelaguet, SJ Clark, H Mohammed, LC Stapel, C Krueger, ... Nature 576 (7787), 487-491, 2019 | 297 | 2019 |
| Gene regulatory network inference: an introductory survey VA Huynh-Thu, G Sanguinetti Gene regulatory networks: Methods and protocols, 1-23, 2019 | 165* | 2019 |
| 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 | 159 | 2012 |
| 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 | 158 | 2009 |
| 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 | 152 | 2007 |
| 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 | 149 | 2014 |
| 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 | 137 | 2006 |
| Detecting repeated cancer evolution from multi-region tumor sequencing data G Caravagna, Y Giarratano, D Ramazzotti, I Tomlinson, TA Graham, ... Nature methods 15 (9), 707-714, 2018 | 133 | 2018 |
| 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 | 126 | 2014 |
| 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 | 124 | 2014 |
| 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 | 122 | 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 | 118 | 2015 |
| Comparison of different moment-closure approximations for stochastic chemical kinetics D Schnoerr, G Sanguinetti, R Grima The Journal of Chemical Physics 143 (18), 2015 | 117 | 2015 |
| Smoothed model checking for uncertain continuous-time Markov chains L Bortolussi, D Milios, G Sanguinetti Information and Computation 247, 235-253, 2016 | 108 | 2016 |
| MeCP2 recognizes cytosine methylated tri-nucleotide and di-nucleotide sequences to tune transcription in the mammalian brain S Lagger, JC Connelly, G Schweikert, S Webb, J Selfridge, ... PLoS genetics 13 (5), e1006793, 2017 | 104 | 2017 |
| 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 | 101 | 2009 |
| System design of stochastic models using robustness of temporal properties E Bartocci, L Bortolussi, L Nenzi, G Sanguinetti Theoretical Computer Science 587, 3-25, 2015 | 97 | 2015 |
