The correlation network model has been used for data modelling in multiple research studies. (Halappanavar et al., 2012); (Dempsey et al., 2011);. (Song et al., ...
Recent progress in high-throughput technology has resulted in a significant data overload. Determining how to obtain valuable knowledge from such massive ...
On the Robustness of the Biological Correlation Network Model · Contents. BIOSTEC 2014: Proceedings of the International Joint Conference on Biomedical ...
On the robustness of the biological correlation network model ...
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In this paper, we analyze a variety of biological networks and find that they generally show a dichotomous degree correlation.
Robustness is the key feature of biological networks that enables living organisms to keep their homeostatic state and to survive against external and internal ...
Jun 3, 2024 · We show that the hidden structure can be determined from the statistical moments of observable network components alone.
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What is a biological network in system biology?
A biological network is a method of representing systems as complex sets of binary interactions or relations between various biological entities. In general, networks or graphs are used to capture relationships between entities or objects. A typical graphing representation consists of a set of nodes connected by edges.
What is correlation in bioinformatics?
Introduction. Correlation is a statistical term that is defined as the closeness and direction of the relationship between random variables.
We propose a framework to generate self-consistent networks using signed distance correlation purely from gene expression data, with no additional information.
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May 11, 2012 · In systems biology, robustness provides a measure of model plausibility because only an exceedingly small fraction of model instantiations will ...
Oct 12, 2023 · Clustering molecular data into informative groups is a primary step in extracting robust conclusions from big data.