Zobrazeno 1 - 10
of 67
pro vyhledávání: '"AALTO, ATTE"'
In the past years, many computational methods have been developed to infer the structure of gene regulatory networks from time-series data. However, the applicability and accuracy presumptions of such algorithms remain unclear due to experimental het
Externí odkaz:
http://arxiv.org/abs/1906.12243
Autor:
Aalto, Atte, Goncalves, Jorge
Developments in transcriptomics techniques have caused a large demand in tailored computational methods for modelling gene expression dynamics from experimental data. Recently, so-called single-cell experiments have revolutionised genetic studies. Th
Externí odkaz:
http://arxiv.org/abs/1903.06540
Publikováno v:
"Gene regulatory network inference from sparsely sampled noisy data", Nature Communications 11: 3493 (2020)
One of the focus areas of modern scientific research is to reveal mysteries related to genes and their interactions. The dynamic interactions between genes can be encoded into a gene regulatory network (GRN), which can be used to gain understanding o
Externí odkaz:
http://arxiv.org/abs/1808.08161
Autor:
Aalto, Atte, Goncalves, Jorge
We develop a method for reconstructing regulatory interconnection networks between variables evolving according to a linear dynamical system. The work is motivated by the problem of gene regulatory network inference, that is, finding causal effects b
Externí odkaz:
http://arxiv.org/abs/1802.05753
Publikováno v:
In Systems & Control Letters July 2022 165
Autor:
Kemp, Françoise, Proverbio, Daniele, Aalto, Atte, Mombaerts, Laurent, Fouquier d’Hérouël, Aymeric, Husch, Andreas, Ley, Christophe, Gonçalves, Jorge, Skupin, Alexander, Magni, Stefano
Publikováno v:
In Journal of Theoretical Biology 7 December 2021 530
Autor:
Burzyński, Michał, Machado, Joël, Aalto, Atte, Beine, Michel, Goncalves, Jorge, Haas, Tom, Kemp, Françoise, Magni, Stefano, Mombaerts, Laurent, Picard, Pierre, Proverbio, Daniele, Skupin, Alexander, Docquier, Frédéric *
Publikováno v:
In Economics and Human Biology December 2021 43
Autor:
Aalto, Atte
We propose an iterative method for joint state and parameter estimation using measurements on a time interval [0,T] for systems that are backward output stabilizable. Since this time interval is fixed, errors in initial state may have a big impact on
Externí odkaz:
http://arxiv.org/abs/1609.06959
Autor:
Aalto, Atte
In this article, we complement recent results on the convergence of the state estimate obtained by applying the discrete-time Kalman filter on a time-sampled continuous-time system. As the temporal discretization is refined, the estimate converges to
Externí odkaz:
http://arxiv.org/abs/1512.02473
Autor:
Aalto, Atte
Publikováno v:
Systems and Control Letters, Elsevier, 2016, 94, pp.111-117
We show that for linear dynamical systems with skew-adjoint generators, the initial state estimate given by the back and forth nudging method with colocated feedback, converges to the minimizer of the discrepancy between the measured and simulated ou
Externí odkaz:
http://arxiv.org/abs/1510.04528