4.7 Article

Operator-valued kernel-based vector autoregressive models for network inference

Related references

Note: Only part of the references are listed.
Review Statistics & Probability

Statistical Challenges in Biological Networks

George Michailidis

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2012)

Article Biochemical Research Methods

GeneNetWeaver: in silico benchmark generation and performance profiling of network inference methods

Thomas Schaffter et al.

BIOINFORMATICS (2011)

Article Engineering, Electrical & Electronic

Causal Network Inference Via Group Sparse Regularization

Andrew Bolstad et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2011)

Article Biochemical Research Methods

Discovering graphical Granger causality using the truncating lasso penalty

Ali Shojaie et al.

BIOINFORMATICS (2010)

Letter Biochemical Research Methods

Predicting causal effects in large-scale systems from observational data

Marloes H. Maathuis et al.

NATURE METHODS (2010)

Article Multidisciplinary Sciences

Towards a Rigorous Assessment of Systems Biology Models: The DREAM3 Challenges

Robert J. Prill et al.

PLOS ONE (2010)

Article Biochemical Research Methods

Reconstructing nonlinear dynamic models of gene regulation using stochastic sampling

Johanna Mazur et al.

BMC BIOINFORMATICS (2009)

Article Biochemical Research Methods

Granger causality vs. dynamic Bayesian network inference: a comparative study

Cunlu Zou et al.

BMC BIOINFORMATICS (2009)

Article Physics, Fluids & Plasmas

Network inference with confidence from multivariate time series

Mark A. Kramer et al.

PHYSICAL REVIEW E (2009)

Article Biochemistry & Molecular Biology

Inferring Dynamic Genetic Networks with Low Order Independencies

Sophie Lebre

STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY (2009)

Article Business, Finance

Credit market shocks and economic fluctuations: Evidence from corporate bond and stock markets

Simon Gilchrist et al.

JOURNAL OF MONETARY ECONOMICS (2009)

Article Computer Science, Information Systems

Inference of differential equation models by genetic programming

Hitoshi Iba

INFORMATION SCIENCES (2008)

Article Statistics & Probability

High-dimensional graphs and variable selection with the Lasso

Nicolai Meinshausen et al.

ANNALS OF STATISTICS (2006)

Article Biochemical Research Methods

ARACNE: An algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context

AA Margolin et al.

BMC BIOINFORMATICS (2006)

Article Statistics & Probability

Model selection and estimation in regression with grouped variables

M Yuan et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2006)

Article Computer Science, Artificial Intelligence

On learning vector-valued functions

CA Micchelli et al.

NEURAL COMPUTATION (2005)

Review Multidisciplinary Sciences

Inferring cellular networks using probabilistic graphical models

N Friedman

SCIENCE (2004)

Article Biochemical Research Methods

Gene networks inference using dynamic Bayesian networks

Bruno-Edouard Perrin et al.

BIOINFORMATICS (2003)