Sentence examples for multivariate approach has from inspiring English sources

A multivariate approach has been systematically applied to a series of glycoconjugated and hydroxylated TPPs, potential anticancer drugs usable in Photodynamic Therapy.

Using a multivariate approach has the advantage of being able to describe how all traits interact to determine fitness.

As such, it has been suggested that bivariate correlations are a poor indicator of genetic constraint and a more multivariate approach has been advocated (Dickerson 1955; Pease and Bull 1988; Walsh and Blows 2009; Houle et al. 2011).

Taken together, these results suggest that inclusion of additional target or co-regulated PGR genes in a multivariate approach has a greater predictive power in determining PR status than TGP.

For the present study, we anticipate the ToF-SIMS spectoa to be very similar, as the tail is always (ter -pyridine-terminated. ter -pyridine-terminatedinter -pyridine-terminated spectra is unreasonable and a multivariate approach has been chosen using principal component analysis (PCA).

In biparental populations, the advantages presented by multivariate approaches have led to the development of a range of approaches for the analysis of multienvironment trials for a single trait (Jiang and Zeng 1995; Tinker and Mather 1995; Wang et al. 1999; Piepho 2000; Verbyla et al. 2003; Vargas et al. 2006; Boer et al. 2007).

A two-stage multivariate optimization approach has been developed employing a Plackett Burman design for screening and selecting the significant factors involved in the USA-DLLME procedure, which was later optimized by means of a circumscribed central composite design.

As the multivariate bootstrapping approach has a stronger model by applying information on the geometry of the constrained baselines, for applications with large observation noise and limited number of observations this will result in a better performance compared to the vectorial bootstrapping approach.

A two stage multivariate optimization approach has been developed employing a Plackett Burman design for screening and selection of the significant factor involved in the in situ IL-DLLME procedure, which was later optimized by means of a circumscribed central composite design.

For example, a multivariate analysis approach has been applied to Alzheimer's disease using a combination of MRS and MRI volumetric metrics to increase diagnostic accuracy and resulted in a sensitivity of 0.97 and a specificity of 0.94.

The multivariate endophenotype approach has already proved useful in various other domains of endophenotypic research [ 13, 71, 97] and will most likely prove fruitful in the search for common etiological factors for ADHD + ASD.