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It has been shown that network synthesis and detailed exchanger design can be made consistent if network synthesis is based on allowable pressure drops rather than on assumed film coefficients.
It has been shown that network alignment offers an effective means to elucidate network structure and predict protein orthologs [ 64- 69].
It has been shown that network modules are approximately factorizable (i.e. cor(x i, x j ) ≈ cor(x i, E(q )) × cor (x j, E(q ))) [ 33, 39]).
It has been shown that network alignment methods can be used to detect pathways or network modules that are conserved across different networks.
While it has been shown that network motifs alone do not determine function in general (Ingram et al., 2006), there is the possibility of a close connection between subgraphs and biological functionality (Shen-Orr et al., 2002).
It has been shown that network topological properties can be used for prioritizing candidate disease genes and predicting novel candidate biomarkers [ 10], and modularity analysis could extract relevant sub-networks related to the studied disease [ 11].
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It has been shown that networks of class (b) shows significant under-representation of links between R1-R1, R5-R6 and R6-R6, whereas networks of class (a) exhibit over-representation of all three [39].
Indeed, it was shown that network coding can improve the network throughput significantly, and achieve the optimal performance in the multicast scenario.
In previous work it was shown that network coding [1] allows an efficient bidirectional relay communication [2 4] with higher throughput than one-way relaying.
It is shown that network coding-based intercluster connection has the advantage of higher bandwidth efficiency compared with the traditional strategy.
It is shown that networks with minimum pumping power must not contain loops.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com