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Inference of network topology from experimental data is a central endeavor in biology, since knowledge of the underlying signaling mechanisms a requirement ...
This dissertation first prescribe directions to reconstruct biological networks based on data properties and priorities in terms of network reconstruction ...
• Behrang Asadi, Network Reconstruction of Dynamic Biological Systems, Graduate. School of University of California San Diego, CA, 2013. Page 20. xix. ABSTRACT ...
Network reconstruction is a long and arduous process that involves building a large network in a step-by-step fashion by identifying one reaction at a time.
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The investigation of network dynamics in biology is a major issue in systems and synthetic biology. Recent advances in high-throughput technologies for ...
In this talk, I will first describe examples of network reconstruction techniques including classic optimization-based approaches (e.g., least-squares methods), ...
We propose an information-theoretic algorithm to reconstruct networks from microarray time-course data by identifying the topology of functional sub-networks.
In this paper, we introduce an approach to reconstructing directed networks based on dynamic systems models.
Apr 14, 2014 · In this paper, we introduce an approach to reconstructing directed networks based on dynamic systems models. Our approach generalizes commonly ...
Apr 30, 2019 · Reconstructing network structures from measurable data is a fundamental problem in almost all interdisciplinary fields. Network nodes interact ...