Multilayer nonlinear dynamical network reconstruction from streaming data

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data

Reconstruction of stochastic nonlinear dynamical models from trajectory measurements.

An algorithm is presented for reconstructing stochastic nonlinear dynamical models from noisy time-series data. The approach is analytical; consequently, the resulting algorithm does not require an extensive global search for the model parameters, provides optimal compensation for the effects of dynamical noise, and is robust for a broad range of dynamical models. The strengths of the algorithm...

Robust dynamical network structure reconstruction

This paper addresses the problem of network reconstruction from data. Previous work identified necessary and sufficient conditions for network reconstruction of LTI systems, assuming perfect measurements (no noise) and perfect system identification. This paper assumes that the conditions for network reconstruction have been met but here we additionally take into account noise and unmodelled dyn...

Gene network reconstruction from microarray data

BACKGROUND Often, software available for biological pathways reconstruction rely on literature search to find links between genes. The aim of this study is to reconstruct gene networks from microarray data, using Graphical Gaussian models. RESULTS The GeneNet R package was applied to the Eadgene chicken infection data set. No significant edges were found for the list of differentially express...