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The distinction between the examination of microbial burden on accountable and non-accountable surfaces proved to be of great importance in the data analysis.
The (RA2) data models with meta-data are also existing at the scientific community centers already but are part of the architecture to underline their importance in the data infrastructure and their possible numerous relationships to different storage services.
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We suggest that features that best identify somatic mutations will differ in importance in the normal data compared with the tumour data, and so integrated analysis of the tumour and normal data will yield better results than independent treatment of the two datasets.
This simplified network suggests which connections are of particular importance in the expression data.
This is especially of importance in the current data analysis as it is aimed at the investigation of individual trajectories of cognitive decline.
Proprietary algorithms can help, but they are secondary in importance to the data sets themselves.
The results thus suggest the importance of investing in the data sources to improve the quality of the information.
In practice, one can look at the magnitude of the difference between (widehat {max}_{j}) and (widetilde {max}_{j}) to assess the importance of overconfidence in the data.
Focuses on quantification, including its central role in the historical development of social science and its importance in the 21st-century data age.
The contribution of a predictor variable to the response is measured by the VIP suggested previously [20], [21], i.e. the variable's importance in the projection of the data into such a space of latent variables, which corresponds best to the response.
ReInforM considers the importance of the data in the packet and can adapt to channel errors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com