Reverse Engineering Cellular Networks with Information Theoretic Methods
Abstract
:1. Introduction
2. Background
2.1. Correlations, Probabilities and Entropies
2.2. Mutual Information
2.3. Generalizations of Information Theory
3. Review of Network Inference Methods
3.1. Detecting Interactions: Correlations and Mutual Information
3.2. Distinguishing between Direct and Indirect Interactions
- Given a species Y, start with X* = ⊘
- Find X* : H(Y∣X*, X*) = minXH(Y∣X*,X*)
- Set X* = {X*, X*}
- Stop if H(Y∣X*, X*) = H(Y∣X*), or when all species except Y are already in X*; otherwise go to step 2
3.3. Detecting Causality
3.4. Previous Comparisons
4. Conclusions, Successes and Challenges
Acknowledgments
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Villaverde, A.F.; Ross, J.; Banga, J.R. Reverse Engineering Cellular Networks with Information Theoretic Methods. Cells 2013, 2, 306-329. https://doi.org/10.3390/cells2020306
Villaverde AF, Ross J, Banga JR. Reverse Engineering Cellular Networks with Information Theoretic Methods. Cells. 2013; 2(2):306-329. https://doi.org/10.3390/cells2020306
Chicago/Turabian StyleVillaverde, Alejandro F., John Ross, and Julio R. Banga. 2013. "Reverse Engineering Cellular Networks with Information Theoretic Methods" Cells 2, no. 2: 306-329. https://doi.org/10.3390/cells2020306