Sentence examples for measuring large numbers from inspiring English sources

As with translation, the energetics of rotation can be quantified by measuring large numbers of rotation events at varying temperatures.

Lessons have been learned about the statistical and study design precautions needed when applying such strategies of measuring large numbers of molecular components [ 20, 21].

Some of the difficulties inherent in gene or protein expression profiling in human disease include accounting for the genetic and environmental variability between patients and the potential for detecting chance associations when measuring large numbers of proteins or genes.

Physician hand hygiene compliance increased due to a paired strategy of measuring large numbers of hand hygiene observations by a known observer and publically providing a physician report card to service chiefs.

By measuring large numbers of animals responding to defined random patterns of optogenetic stimulation, we were able to collect enough data to use reverse-correlation analysis to connect optogenetic activation patterns of sensory neurons with motor patterns (Ringach and Shapley, 2004).

The questions were selected on the balance of validation evidence from current literature and the feasibility of measuring large number of children.

Fluorescence activated cell sorting (FACS) is non-invasive, sensitive and quantitative and allows to measure large numbers of cells and samples in a reasonable amount of time [9].

Clinical trials today are designed to measure a small number of markers in many participants, but high-throughput methods allow us to measure large numbers of markers in smaller cohorts.

Now that it is technically and economically feasible to measure large numbers of DNA sequence variations in human genetics, the bioinformatics challenge is to identify and improve methods for detecting variants which are predictive of disease risk.

Although the mechanisms of the WRKYs' responses to multiple abiotic stresses needs further investigation, the co-expression analysis, which has the ability to measure large numbers of gene expressions, provides a powerful tool for identifying groups of genes and discovering novel regulators involved in the signal transport of plant stress responses.

Especially when variation in performance attributable to the physicians is small, which tends to be the case particularly for outcome and resource use measures, large numbers of patients per measure are needed to generate reliable measurements [ 63].