Sentence examples for multiple correlated markers from inspiring English sources

Epidemiologic studies are generally ill-suited to describe a causal marker when multiple correlated markers, all with little if any known functional relevance to the phenotype in question, exist.

We modify the LRT of the previous section to take into account multiple correlated markers.

In QTL mapping studies with pedigree data, a number of approaches have been proposed to detect pleiotropic effect of markers on multiple correlated traits by considering the traits jointly.

To avoid the burden of multiple correlated tests, we used only genotyped markers and discarded the pseudomarkers used for single-locus interval mapping.

This enables us to find multiple-correlated genetic markers with pleiotropic effects that affect multiple-correlated genes jointly.

More recently, a heterogeneous multitask learning framework that considers both continuous (regression) and discrete (classification) variables was successfully used to discover genetic markers that jointly influence multiple correlated traits (Yang et al., 2009).

Notably, a growing number of these phenomena demand a consideration of correlated level crossings emerging from multiple correlated processes.

The proposed metrics are applicable to validation for models with multiple correlated responses.

We consider regression models with multiple correlated responses for each design point.

It is common in mining industry that the deposits contain multiple correlated attributes of interest.

With multiple correlated sound signals simultaneously rendered by two or multiple loudspeakers, humans can only perceive a summing virtual sound.