Sentence examples for discovered correlation from inspiring English sources
Ferrari have discovered correlation problems between the data from their wind tunnel - a crucial tool in honing the aerodynamics of a Formula 1 car - and that from the car on the track.
Using the discovered correlation patterns, the model allows one to borrow information across datasets to improve detection of allelic imbalance.
In contrast, iASeq provides a general and rigorous statistical method that utilizes the automatically discovered correlation patterns to increase the statistical power of AS detection.
Our immunohistochemical study with its natural limitations does not allow for determining molecular background of the discovered correlation between the enhanced stromal expression of COX-2 and worse prognosis for the breast cancer patients.
For example, we discovered correlation among the numbers of pathway genes, TFs and network topology: one-gene pathways (such as δ-carotene biosynthesis) were regulated by a fewer TFs, and were not critical to metabolic network because of their low degrees in topology.
Phithakkitnukoon et al. [60] discovered correlations between people's travel scope and locations of their social ties.
We examined the physiological impact of CBH production in S. cerevisiae expressing the different cbh genes and discovered correlations with the UPR.
The term of association rules is a powerful technique of data mining for discovering correlation and relationships between objects in the database.
In addition, contrary to our study, the majority of the above approaches consider large frequency bins in their experiments, which increases the potential failure to discover correlation properties, since different PU signals can occupy different parts of a single frequency bin.
Our simulation study demonstrates the ability of iASeq to discover correlation patterns of allele-specificity and improve the detection of skewed SNPs.
By using correlation coefficient to discover correlations between topics, we are able to discover a set of strongly correlated topics as a community.
