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The phrase "data-driven experiments" is correct and can be used in written English
It is often used in the context of research or scientific studies, where experiments are designed and conducted based on data analysis and evidence. Example: The research team used a combination of qualitative and quantitative methods, including surveys and data-driven experiments, to gather information and draw conclusions about consumer behavior.
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And he transformed New York into a national model for data-driven experiments, including cash incentives for academic progress.
With 72,000 students, A.S.U. is both the country's largest public university and a hotbed of data-driven experiments.
Finally, our data-driven experiments show that the proposed size recommendation improves the size selection accuracy to 92%, which is a 22% improvement compared to conventional solutions.
To do this we followed a number of data-driven experiments to establish the effectiveness of 'cross-pollination' between samples of individual types of cyber hate, by mixing samples at the training stage.
With the advent of high-throughput, multicentered research, large-scale, data-driven experiments are frequently taking place in many different laboratories.
Network representation is becoming a popular tool for modeling these types of data-driven experiments; for gene expression analysis, network models are able to store and showcase relationships between genes and gene products.
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The results of a data-driven experiment are necessary to measure any improvement in classifying the sexual orientation dataset - which would then suggest the combination of models based on context, rather than a single model of cyber hate.
With these ideas in mind, we developed a data-driven experiment recommendation system to identify the minimal set of maximally informative experiments for functional characterization of the S. bayanus genome based on the S. cerevisiae gene-expression literature (Guan et al. 2010).
In this article, we propose REx (data-driven Retrieval of Experiments), which extends our earlier data-driven information retrieval method (Caldas et al., 2009).
Scientific workflows are a popular mechanism for specifying and automating data-driven in silico experiments.
This data-driven approach uncovered experiments in which DEGPs were altered in a psoriasis-like or psoriasis-opposite fashion (Additional file 17).
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