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When we use a network approach to expand the original datasets of DE genes to large gene networks using available interactome data, a higher agreement between datasets is achieved.
There are numerous opportunities in public health practice to use a network approach for developing and implementing health intervention, and further studies should be developed, particularly referring to the stochastic and longitudinal network analysis models.
This is the largest whole genome sequencing study of M. tuberculosis transmission to-date, and the first to use a network approach.
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Using a network approach allows us to depict and analyse heterogeneous, complex distribution of such functions and their roles in the ecosystem.
By using a network approach, we assessed the structure of farm mass flows networks and their consequences for nitrogen (N), phosphorus (P) and potassium (K) recycling in organic farming at the local scale.
The aim of the model presented here is to generate realistic road usage data and resulting congestion information using a network approach utilizing statistical data about mobility behavior.
Using a network approach may help to differentiate between both possibilities because it provides critical additional information on the system.
We have used a network approach to infer transitive relations for positive gene-interactions to estimate sensitivity and, more tentatively, specificity of our approach.
We also used a network approach to evaluate differences amongst groups.
Using a network approach, additional questions on metastatic dissemination can be explored – for example, how network properties and characteristics change by age, gender, race, disease stage, or treatment.
Through a large data set of cancer patients, we have investigated the topographical patterns of clinical metastasis development using a network approach.
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