Sentence examples for numerous data from from inspiring English sources
Here, we employed high-field magnetic resonance imaging techniques to gather numerous data from members of a major marine invertebrate taxon, the sea urchins (Echinoidea).
In this review, we clarify the problems met by incongruence analyses in the face of such increasingly numerous data from genomes of prokaryotes and mobile elements.
Numerous data from large scale transcriptome profiling analysis strongly support the existence of regulatory interactions and coordination between signaling networks, rather than linear pathways [ 1, 2].
As seen with the more numerous data from Table 2, the sensitivity of the WSRT procedure for elevated rates, determined by the percentage of comparisons that were significantly high, was between that of the 95% standard normal test and the other two methods.> -wrap-foot> Total comparisons = 5,133.
We agree that showing the goodness of the model through predictions would be useful, however despite making numerous data requests from other published projects we were not able to get user/player visit data from any other crowdsourcing project.
Numerous data obtained from mouse knockout studies and selective pharmacological inhibitors implicate an important role of p38α MAPK in inflammatory and immune responses [ 93- 95].
Prediction and prevention of aggression in emergency services patients could thus potentially be based on numerous data drawn from individual medical and social history, treatment conditions, behaviours and psychopathology.
Specific components already available include: numerous data retrievers from our local databases; a chromosome map summarizing genes and genomic regions linked to CHDs; pie chart generation; gene network visualization and exploration; and candidate gene prioritization.
In comparing BioSense with other commonly-used automated surveillance systems such as EARS, ESSENCE, or RODS, it is useful to distinguish between the BioSense program, which supports a number of activities including collation of numerous data types from around the U.S., vs. the BioSense application, which displays data and analyses.
Simulations and a test observation showed that two longitudinally separate observation sites with arrays of optical sensors can identify the same objects from numerous data sets and determine their orbits precisely.
In TIGR OSA1, the transcriptome information compiled from numerous data of FL-cDNA, ESTs, Massively Parallel Signature Sequencing (MPSS), and Serial Analysis of Gene Expression (SAGE) were integrated with proteome information.
