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We propose in this paper a flexible querying system using the domain ontology to scan simultaneously local and Web data, this in order to feed the predictive modeling tools available on the Sym'Previus platform.
In line with our previous data, this in silico analysis points to potential mechanistic conservation of the NDR1 function in Arabidopsis and coffee plants.
From a mechanistic perspective, we predict that the incoming technological armamentarium will encourage a switch from an oncogene-centered to a network-based interpretation of data; this, in turn, will likely provide full awareness of the complex cellular circuits that generate and maintain oncogene addiction.
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Data provided in this release refers to English adults only.
If you want more support, check out the data in this article in The Wall Street Journal.
We did not follow this data further in this study.
Supermarkets then use this data to influence in-store decisions.
Training the data, in this case, may have been easier than getting the data in the first place.
Using data in this way promises much.
Statistics source data in this paper.
The lack of data in this regard is startling.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com