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EPR is an evolutionary data mining technique that generates a transparent and structured representation of the behaviour of a system directly from data.
The proposed evolutionary polynomial regression (EPR) technique is an evolutionary data mining methodology that generates a transparent and structured representation of the behaviour of a system directly from raw data.
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Detecting a change in evolutionary data stream and detecting concept drift during the time whether gradual or abrupt. .
This represents a new approach using evolutionary data in protein engineering.
All these examples illustrate how the integration of evolutionary data into an immunological framework can provide important insights into genes playing a major biological role for past and present survival and highlight host pathways playing an essential role in pathogen resistance.
Large datasets now enable us to evaluate evolutionary data on a new scale which is vitally important when considering whether a structure has been conserved and is hence likely to be functionally important.
Parasites can also serve as an independent source of information when evolutionary data on the host is insufficient [ 5].
We analyzed the system evolutionary data collected on a daily basis from the two systems.
The architecture uses a selective persistence that provides sufficient data-handling, with support to evolutionary data description and data consultation, for an engineering domain application without any special syntactic extension to the application language.
Based on this model, G+C content suggests that A. dehalogenans is evolutionarily closer to the myxobacteria than to other delta-Proteobacteria families and that A. dehalogenans shares a common ancestor with the entire clade of myxobacteria, rather than representing an evolutionary intermediate (data not shown).
Using evolutionary data in conjunction with a well-calibrated physical model is a more recent development.
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