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11 relations: Biological network, Clique (graph theory), Complex network, Escherichia coli, Gene regulatory network, Graphical model, Null model, Sampling probability, Statistical ensemble (mathematical physics), Statistical significance, Uri Alon.
Biological network
A biological network is any network that applies to biological systems.
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Clique (graph theory)
In the mathematical area of graph theory, a clique is a subset of vertices of an undirected graph such that every two distinct vertices in the clique are adjacent; that is, its induced subgraph is complete.
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Complex network
In the context of network theory, a complex network is a graph (network) with non-trivial topological features—features that do not occur in simple networks such as lattices or random graphs but often occur in graphs modelling of real systems.
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Escherichia coli
Escherichia coli (also known as E. coli) is a Gram-negative, facultatively anaerobic, rod-shaped, coliform bacterium of the genus Escherichia that is commonly found in the lower intestine of warm-blooded organisms (endotherms).
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Gene regulatory network
A gene (or genetic) regulatory network (GRN) is a collection of molecular regulators that interact with each other and with other substances in the cell to govern the gene expression levels of mRNA and proteins.
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Graphical model
A graphical model or probabilistic graphical model (PGM) or structured probabilistic model is a probabilistic model for which a graph expresses the conditional dependence structure between random variables.
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Null model
In mathematics, in the study of statistical properties of graphs, the null model is a graph which matches one specific graph in some of its structural features, but which is otherwise taken to be an instance of a random graph.
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Sampling probability
In statistics, in the theory relating to sampling from finite populations, the sampling probability (also known as inclusion probability) of an element or member of the population, is its probability of becoming part of the sample during the drawing of a single sample.
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Statistical ensemble (mathematical physics)
In mathematical physics, especially as introduced into statistical mechanics and thermodynamics by J. Willard Gibbs in 1902, an ensemble (also statistical ensemble) is an idealization consisting of a large number of virtual copies (sometimes infinitely many) of a system, considered all at once, each of which represents a possible state that the real system might be in.
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Statistical significance
In statistical hypothesis testing, a result has statistical significance when it is very unlikely to have occurred given the null hypothesis.
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Uri Alon
Uri Alon (born 1969) is a Professor and Systems Biologist at the Weizmann Institute of Science.
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