Sfoglia per SSD
scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolution
2021-01-01 Kapourani, Chantriolnt-Andreas; Argelaguet, Ricard; Sanguinetti, Guido; Vallejos, Catalina
scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells
2018-01-01 Clark, Sj; Argelaguet, R; Kapourani, Ca; Stubbs, Tm; Lee, Hj; Alda-Catalinas, C; Krueger, F; Sanguinetti, G; Kelsey, G; Marioni, Jc; Stegle, O; Reik, W
SCRaPL: A Bayesian hierarchical framework for detecting technical associates in single cell multiomics data
2022-01-01 Maniatis, C.; Vallejos, C. A.; Sanguinetti, G.
SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data
2024-01-01 Kazwini, Nour El; Sanguinetti, Guido
Smoothed model checking for uncertain Continuous-Time Markov Chains
2016-01-01 Bortolussi, L.; Milios, D.; Sanguinetti, G.
Space, time and memory in the medial temporal lobe
2020-11-23 Spalla, Davide
Spectral and deep learning approaches to Hi-C data analysis
2021-10-25 Franzini, Stefano
Static and dynamic properties of knotted biopolymers: from bulk to nanochannels and nanopores
2017-10-18 Suma, Antonio
Statistical abstraction for multi-scale spatio-temporal systems
2019-01-01 Michaelides, M.; Hillston, J.; Sanguinetti, G.
Statistical mechanics of spin systems on diluted random structures
2002-10-17 Leone, Michele
Statistical modeling of isoform splicing dynamics from RNA-seq time series data
2016-01-01 Huang, Y.; Sanguinetti, G.
Statistical Physics and Message Passing Algorithms. Two Case Studies: MAX-K-SAT Problem and Protein Flexibility
2006-01-20 Kolar, Michal
Stochastic Thermodynamics of Learning
2017-01-01 Goldt, S.; Seifert, U.
Stochastic thermodynamics of resetting
2016-01-01 Fuchs, J.; Goldt, S.; Seifert, U.
Strand-specific, high-resolution mapping of modified RNA polymerase II
2016-01-01 Milligan, L.; Huynh-Thu, V. A.; Delan-Forino, C.; Tuck, A.; Petfalski, E.; Lombrana, R.; Sanguinetti, G.; Kudla, G.; Tollervey, D.
Studies of neuronal nicotinic receptors of autonomic neurons: expression and function
2007-05-16 Matteoni, Cosetta
Subclonal reconstruction of tumors by using machine learning and population genetics
2020-01-01 Caravagna, G.; Heide, T.; Williams, M. J.; Zapata, L.; Nichol, D.; Chkhaidze, K.; Cross, W.; Cresswell, G. D.; Werner, B.; Acar, A.; Chesler, L.; Barnes, C. P.; Sanguinetti, G.; Graham, T. A.; Sottoriva, A.
Synthesizing realistic neural population activity patterns using generative adversarial networks
2018-01-01 Molano-Mazon, M.; Onken, A.; Piasini, E.; Panzeri, S.
Thermodynamic efficiency of learning a rule in neural networks
2017-01-01 Goldt, S.; Seifert, U.
Time as a supervisor: temporal regularity and auditory object learning
2023-01-01 Ditullio, Ronald W; Parthiban, Chetan; Piasini, Eugenio; Chaudhari, Pratik; Balasubramanian, Vijay; Cohen, Yale E
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