The effective graph reveals redundancy, canalization, and control pathways in biochemical regulation and signaling

A wealth of discovery built on the Human Genome Project — by the numbers

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Predicting perturbation patterns from the topology of biological networks

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CANA: A Python Package for Quantifying Control and Canalization in Boolean Networks

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Multivariate Dependence beyond Shannon Information

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How causal analysis can reveal autonomy in models of biological systems

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The influence of canalization on the robustness of Boolean networks

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Network dynamics-based cancer panel stratification for systemic prediction of anticancer drug response

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Extraction of Pharmacokinetic Evidence of Drug–Drug Interactions from the Literature

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Boolean modeling: a logic-based dynamic approach for understanding signaling and regulatory networks and for making useful predictions

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Dynamical modeling and analysis of large cellular regulatory networks

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Dynamics and Control at Feedback Vertex Sets. I: Informative and Determining Nodes in Regulatory Networks

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Canalization and Control in Automata Networks: Body Segmentation in Drosophila melanogaster

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The Cell Collective: Toward an open and collaborative approach to systems biology

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Elementary signaling modes predict the essentiality of signal transduction network components

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Guiding the self-organization of random Boolean networks

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Dynamical and Structural Analysis of a T Cell Survival Network Identifies Novel Candidate Therapeutic Targets for Large Granular Lymphocyte Leukemia

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Understanding synergy in genetic interactions

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Activity motifs reveal principles of timing in transcriptional control of the yeast metabolic network

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