Sentence examples for influencing variance from inspiring English sources

The other factors influencing variance in the genomic signature (p<0.001) were genomic AT content, phylum and oxygen requirement.

However, this approach inevitably leads to missing values among probes, influencing variance and downstream analysis of differential expression.

The population of more than 150 patients would allow the detection of common variables influencing variance at a level of 2.5%.

This is a clinical important and meaningful question, as knowledge about factors influencing variance in pain is essential in the search for more efficacious pain treatment for fibromyalgia patients.

The IP model assumes that there is only one common set of additive, shared environmental (or dominant genetic) and nonshared environmental factors influencing variance in all three informants' scores.

We utilized a genotyping strategy that exploits the recent finding that gene variants regulating expression commonly reside in the vicinity of genes (11– 13), to build a panel of SNPs influencing variance in one or more CHD-related biomarkers to investigate the nature of the association between markers.

Although stochastic factors influence variance in population abundance of less aggressive taxa, demographic constraints due to host resistance strongly regulate their populations near a low abundance equilibrium.

Similar MZ and DZ twin correlations suggest that common environmental factors (C), i.e. factors shared by members of a twin pair, influence variance in exercise participation, because the common environment is similar in MZ and DZ twins [49].

It is therefore intriguing that alteration of Tfap2a and Fgf8 can influence variance (this study) (Griffin et al., 2013).

Artificial Neural Network (ANN) is a good candidate for identifying interactions that influence variance in an outcome of interest since it is able to model complex and non-linear relationships between variables.

ANN is a good candidate for identifying interactions that influence variance in an outcome of interest since it is able to model complex and non-linear relationships between variables.