Sfoglia per SSD
Space, time and memory in the medial temporal lobe
2020-11-23 Spalla, Davide
Spatial organization of DNA across scales: a Bayesian inference and information-theoretic approach
2024-10-23 Zhang, CHEN YI
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 reaction networks in dynamic compartment populations
2020-01-01 Duso, L.; Zechner, C.
Stochastic Thermodynamics of Learning
2017-01-01 Goldt, S.; Seifert, U.
Stochastic thermodynamics of resetting
2016-01-01 Fuchs, J.; Goldt, S.; Seifert, U.
Stochasticity and determinism in cell fate decisions
2020-01-01 Zechner, C; Nerli, E; Norden, C
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.
Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge
2013-01-01 Tarca, Al; Lauria, M; Unger, M; Bilal, E; Boue, S; Dey, Kk; Hoeng, J; Koeppl, H; Martin, F; Meyer, P; Nandy, P; Norel, R; Peitsch, M; Rice, Jj; Romero, R; Stolovitzky, G; Talikka, M; Xiang, Y; Zechner, C
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
Transcription rate strongly affects splicing fidelity and cotranscriptionality in budding yeast
2018-01-01 Aslanzadeh, V; Huang, Yh; Sanguinetti, G; Beggs, Jd
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