Sentence examples for between all data types from inspiring English sources

Thus, our database enables connections between otherwise disparate data sources and allows relatively simple navigation between all data types and annotations.

Navigation between all data types is simple and user-friendly; a variety of possible query combinations allow researchers quickly to determine the most de-regulated genes and proteins across all platforms.

The focus of VAMP is on the comparison of the genomic information between tumors and thus all data types are displayed along the physical position in the genome.

The three diameter measurement data sets (pores and filaments in layers; pores and filaments in clumps; and microbial filaments from an inner tube surface) were not normally distributed, and F-tests revealed the variances to be significantly different between all three data types (Table 2).

Sectioning (the process of splitting up arbitrary-length streams into fixed-size sections that fit in a vector register), data alignment, and conversion between different packed data types are all performed in hardware.

Differences between these data types are functionally important for this system because not all participating hospitals report every day and the comparison statistic is based on each syndrome's proportion of all ED visits.

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.