Sanguinetti, Guido
Sanguinetti, Guido
Approximation and inference methods for stochastic biochemical kinetics-a tutorial review (vol 50, 093001, 2017)
2018-01-01 Schnoerr, D; Sanguinetti, G; Grima, R
Autoregressive Point Processes as Latent State-Space Models: A Moment-Closure Approach to Fluctuations and Autocorrelations
2018-01-01 Rule, M; Sanguinetti, G
BPRMeth: a flexible Bioconductor package for modelling methylation profiles
2018-01-01 Kapourani, Ca; Sanguinetti, G
BRIE: transcriptome-wide splicing quantification in single cells
2017-01-01 Huang, Yh; Sanguinetti, G
Combining tree-based and dynamical systems for the inference of gene regulatory networks
2015-01-01 Van, A. H. T.; Sanguinetti, G.
Cox process representation and inference for stochastic reaction-diffusion processes
2016-01-01 Schnoerr, D.; Grima, R.; Sanguinetti, G.
Detecting repeated cancer evolution from multiregion tumor sequencing data
2018-01-01 Caravagna, G; Giarratano, Y; Ramazzotti, D; Tomlinson, I; Graham, Ta; Sanguinetti, G; Sottoriva, A
Efficient Low-Order Approximation of First-Passage Time Distributions
2017-01-01 Schnoerr, D.; Cseke, B.; Grima, R.; Sanguinetti, G.
Evolutionary dynamics of residual disease in human glioblastoma
2019-01-01 Spiteri, I.; Caravagna, G.; Cresswell, G. D.; Vatsiou, A.; Nichol, D.; Acar, A.; Ermini, L.; Chkhaidze, K.; Werner, B.; Mair, R.; Brognaro, E.; Verhaak, R. G. W.; Sanguinetti, G.; Piccirillo, S. G. M.; Watts, C.; Sottoriva, A.
Expectation propagation for continuous time stochastic processes
2016-01-01 Cseke, B.; Schnoerr, D.; Opper, M.; Sanguinetti, G.
Geometric fluid approximation for general continuous-time Markov chains
2019-01-01 Michaelides, M.; Hillston, J.; Sanguinetti, G.
Higher order methylation features for clustering and prediction in epigenomic studies
2016-01-01 Kapourani, C. A.; Sanguinetti, G.
HuD Is a Neural Translation Enhancer Acting on mTORC1-Responsive Genes and Counteracted by the Y3 Small Non-coding RNA
2018-01-01 Tebaldi, T; Zuccotti, P; Peroni, D; Kohn, M; Gasperini, L; Potrich, V; Bonazza, V; Dudnakova, T; Rossi, A; Sanguinetti, G; Conti, L; Macchi, P; D'Agostino, V; Viero, G; Tollervey, D; Huttelmaier, S; Quattrone, A
Kinetic CRAC uncovers a role for Nab3 in determining gene expression profiles during stress
2017-01-01 Van Nues, R.; Schweikert, G.; De Leau, E.; Selega, A.; Langford, A.; Franklin, R.; Iosub, I.; Wadsworth, P.; Sanguinetti, G.; Granneman, S.
MeCP2 recognizes cytosine methylated tri-nucleotide and di-nucleotide sequences to tune transcription in the mammalian brain
2017-01-01 Lagger, S.; Connelly, J. C.; Schweikert, G.; Webb, S.; Selfridge, J.; Ramsahoye, B. H.; Yu, M.; He, C.; Sanguinetti, G.; Sowers, L. C.; Walkinshaw, M. D.; Bird, A.
Melissa: Bayesian clustering and imputation of single-cell methylomes
2019-01-01 Kapourani, Ca; Sanguinetti, G
Multi-omics profiling of mouse gastrulation at single-cell resolution
2019-01-01 Argelaguet, R.; Clark, S. J.; Mohammed, H.; Stapel, L. C.; Krueger, C.; Kapourani, C. -A.; Imaz-Rosshandler, I.; Lohoff, T.; Xiang, Y.; Hanna, C. W.; Smallwood, S.; Ibarra-Soria, X.; Buettner, F.; Sanguinetti, G.; Xie, W.; Krueger, F.; Gottgens, B.; Rugg-Gunn, P. J.; Kelsey, G.; Dean, W.; Nichols, J.; Stegle, O.; Marioni, J. C.; Reik, W.
Network of epistatic interactions within a yeast snoRNA
2016-01-01 Puchta, O.; Cseke, B.; Czaja, H.; Tollervey, D.; Sanguinetti, G.; Kudla, G.
Neural field models for latent state inference: Application to large-scale neuronal recordings
2019-01-01 Rule, M. E.; Schnoerr, D.; Hennig, M. H.; Sanguinetti, G.
Parameter estimation for biochemical reaction networks using Wasserstein distances
2020-01-01 Ocal, K.; Grima, R.; Sanguinetti, G.