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Free sign upThe phrase "associations in data" is correct and usable in written English.
It can be used when discussing relationships or connections found within datasets or information.
Example: "The study aimed to uncover associations in data that could lead to new insights about consumer behavior."
Alternatives: "relationships in data" or "connections in data".
Exact(3)
These qualities have led to an interest in the use of mutual information-based measures to automatically detect diverse classes of associations in data sets with few assumptions as to the functional form of the relationship (Reshef et al.2011; Slonim et al.2005).2005
In the future we plan to confirm these associations in data where this information is available.
These analyses demonstrate the efficacy of the model for identifying neuron specific DNA methylation associations in data generated from bulk tissue hybridizations.
Similar(57)
Based on deviation and parameters, the results of the MIDW method not only fit better with the surveyed values, but they also incorporate both the singularity and spatial association in data interpolation.
Although we did not clearly observe this association in data from our previous study (Silander et al., 2012), a recent re-analysis of this data did uncover a significant association between expression plasticity and noise (Singh, 2013), which we confirmed using our present data.
The d-separation rule (Pearl, 1988) translates between the causal assumptions encoded in the DAG and the associations observable in data.
In addition to the sociodemographic associations observed in data from the first health assessment, respondents working in a managerial/technical position were less likely to cycle than professionals.
CETS based quantification was applied to a data set investigating DNA methylation associations in MDD data from the Stanley Medical Research Institute SMRII).
The analysis of fructose-intake data illustrates the potential for both the use and misuse of weak associations in epidemiological data.
Association datasets are often collected to form sparse, bipartite networks, where sparsity arises from the reality that there are (typically) many more non-associations than associations in these data.
To extend the results to cellular applications, it is important to have a clear understanding of molecular interactions with the cell membrane, and ideally identify signatures of stabilizing membrane associations in experimental data.
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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