Sentence examples for multiple sources of variability from inspiring English sources
The root cause of the problem is analyzing assemblages according to taxonomic units, whether they are Bordian facies or chaîne opératoire technocomplexes, which conflate as well as mask multiple sources of variability.
Second, there are multiple sources of variability such as differences in arrays, dye labeling, efficiency in reverse transcription, and hybridization [26].
An ontology analysis using the Panther system demonstrated that, by reference to the list of 12,808 genes expressed in monocytes, the set of 465 expression traits affected by multiple sources of variability was enriched in "Immunity and defense" genes (69 obsexpected.8 exPected, P = 4.5×10−6), especially in the sub-categories of "Macrophage-mediated immunity" (18/3.6, P = 7.5×10−6).
Samples from different provenances collected in different years and geographic locations were integrated into the analyses to mitigate the effects of multiple sources of variability.
Samples from different provenances collected in different years at two latitudes were integrated into the analyses to mitigate the effects of multiple sources of variability.
Clinical studies need to control for multiple sources of variability since gene expression can be influenced by psychological stress [ 7, 8], exercise [ 9, 10] and eating [ 11].
There is evidence for multiple sources of inter-individual variability in both the pupil light reflex [12], and in melatonin expression [32].
Fienberg H, Simonds EF, Fantl WJ, Nolan GP, Bodenmiller B. Description: Barcoding cells from different samples with specific isotope combinations allows mixing, staining and measuring multiple samples together in one go, thus eliminating multiple sources of sample-to-sample variability.
Can computational models of cell death incorporate multiple sources of cell-to-cell variability?
Accurately predicting the transport of contaminants in the field is subject to multiple sources of uncertainty due to the variability of geological settings, the complexity of field measurements, and the scarcity of data.
Unfortunately, multiple sources of uncertainty must also be considered in the analysis, including environmental variability, unknown model functional forms, and unknown values of model parameters.
