Sentence examples for between both data types from inspiring English sources
Species relationships within the Sulidae are largely congruent between both data types, with the exception of the position of Abbott's booby, Papasula abbotti [6], [7], while relationships within the Phalacrocoracidae are predominantly incongruent [16], [33], [34].
Several studies have previously integrated gene expression profiles and genomic alterations in CRC and found a good correlation between both data types [ 15- 19].
As the host fasting glucose and homeostasis model assessment-estimated insulin resistance (HOMA-IR) indexes were available for the obese subjects, a similar analysis was performed; we found a linear relation (r ≥ 0.94) between both data types and GIT glycosidase activity (Fig. 3B); note that this correlation was only observed for patients with ≥ 83 mg/dL fasting blood glucose.
We found statistically significant agreement between the two data types for both SOX1 and WT1 (Additional file 17).
Importantly, we observed that model predictions highly concur between algorithms but are highly discordant between data types, which seems to be dependent on the censoring rate of the dataset.
More generally, it's apparent that despite the promises (or aspirations) of vendors marketing rich associated datasets, it seems that projects requiring reliable concordance between different data types often remain especially challenging, and problematic.
But, zooming out further, it's a sign of what the startup is building: an intermediary between different data types in a bid to become the "Evernote for the rest of your life", says co-founder Ramy Khuffash.
The extensive data begin to enable design against a spectrum of targets (polypharmacology); however, the data also reveal heterogeneities of structure, subtleties of chemical interactions, and apparent inconsistencies between diverse data types.
However, our ability to understand the linkages between such data types and knowledge generation in order to improve clinical care and disease prevention is often limited to the intuition of individual investigators.
Similar to the work published by Liu and Terzi [30], these approaches do not make a differentiation between different data types but provide an aggregated value to measure the comprehensive privacy risks a user faces.
