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We report a procedure that, in one step from continuous data with minimal preparation, recovers the graph found by Sachs et al.
A discovery algorithm for directed cyclic graphs
T. Richardson · 1996
Earlier work this paper cites.
A tutorial on learning with bayesian networks
D. Heckerman · 1998
Earlier work this paper cites.
Causation, prediction, and search
P. Spirtes, C. N. Glymour, and R. Scheines · 2000
Earlier work this paper cites.
Causal protein-signaling networks derived from multiparameter single-cell data
K. Sachs, O. Perez, D. Pe’er, D. A. Lauffenburger, and G. P. Nolan · 2005
Earlier work this paper cites.
Sparse inverse covariance estimation with the graphical lasso
J. Friedman, T. Hastie, and R. Tibshirani · 2008
Earlier work this paper cites.
Structure learning in causal cyclic networks
S. Itani, M. Ohannessian, K. Sachs, G. P. Nolan, and M. A. Dahleh · 2010
Earlier work this paper cites.
Sparse linear identifiable multivariate modeling
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Generalization of the PC algorithm for non-linear and non-Gaussian data and its application to biological data
Discovery and visualization of nonstationary causal models
K. Zhang, B. Huang, J. Zhang, B. Schölkopf, and C. Glymour · 2015
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Joint causal inference on observational and experimental datasets
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Learning large-scale bayesian networks with the sparsebn package
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Causal generative neural networks
O. Goudet, D. Kalainathan, P. Caillou, I. Guyon, D. Lopez-Paz, and M. Sebag · 2017
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Sam: Structural agnostic model, causal discovery and penalized adversarial learning
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D. Kalainathan, O. Goudet, I. Guyon, D. Lopez-Paz, and M. Sebag · 2018
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Causal discovery of feedback networks with functional magnetic resonance imaging
R. Sanchez-Romero, J. D. Ramsey, K. Zhang, M. R. K. Glymour, B. Huang, and C. Glymour · 2018
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