Inferring sparse networks for noisy transient processes

Time series forecasting for nonlinear and non-stationary processes: a review and comparative study

(2015) Changqing Cheng et al.   IIE TRANSACTIONS

Identifying causal gateways and mediators in complex spatio-temporal systems

(2015) Jakob Runge et al.   Nature Communications

Gene network inference by probabilistic scoring of relationships from a factorized model of interactions

(2014) Marinka Žitnik et al.   BIOINFORMATICS

Dynamic networks reveal key players in aging

(2014) Fazle E. Faisal et al.   BIOINFORMATICS

Fast Bayesian inference for gene regulatory networks using ScanBMA

(2014) William Young et al.   BMC Systems Biology

Quantifying the Strength and Delay of Climatic Interactions: The Ambiguities of Cross Correlation and a Novel Measure Based on Graphical Models

(2013) Jakob Runge et al.   JOURNAL OF CLIMATE

Network link prediction by global silencing of indirect correlations

(2013) Baruch Barzel et al.   NATURE BIOTECHNOLOGY

Network deconvolution as a general method to distinguish direct dependencies in networks

(2013) Soheil Feizi et al.   NATURE BIOTECHNOLOGY

A Bayesian approach to sparse dynamic network identification

(2012) Alessandro Chiuso et al.   AUTOMATICA

Bayesian Inference of Signaling Network Topology in a Cancer Cell Line

(2012) Steven M. Hill et al.   BIOINFORMATICS

Causal Discovery for Climate Research Using Graphical Models

(2012) Imme Ebert-Uphoff et al.   JOURNAL OF CLIMATE

Wisdom of crowds for robust gene network inference

(2012) Daniel Marbach et al.   NATURE METHODS

Escaping the Curse of Dimensionality in Estimating Multivariate Transfer Entropy

(2012) Jakob Runge et al.   PHYSICAL REVIEW LETTERS

Time-series–based prediction of complex oscillator networks via compressive sensing

(2011) Wen-Xu Wang et al.   EPL

Causal Network Inference Via Group Sparse Regularization

(2011) A Bolstad et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Predicting Catastrophes in Nonlinear Dynamical Systems by Compressive Sensing

(2011) Wen-Xu Wang et al.   PHYSICAL REVIEW LETTERS

General Deviants: An Analysis of Perturbations in Compressed Sensing

(2010) M.A. Herman et al.   IEEE Journal of Selected Topics in Signal Processing

Revealing strengths and weaknesses of methods for gene network inference

(2010) D. Marbach et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Grouped graphical Granger modeling for gene expression regulatory networks discovery

(2009) A. C. Lozano et al.   BIOINFORMATICS

A MATLAB toolbox for Granger causal connectivity analysis

(2009) Anil K. Seth   JOURNAL OF NEUROSCIENCE METHODS

Gene regulatory network inference: Data integration in dynamic models—A review

(2008) Michael Hecker et al.   BIOSYSTEMS

Modelling and analysis of gene regulatory networks

(2008) Guy Karlebach et al.   NATURE REVIEWS MOLECULAR CELL BIOLOGY

Reconstructing the topology of sparsely connected dynamical networks

(2008) Domenico Napoletani et al.   PHYSICAL REVIEW E