Sentence examples for more specifically predict from inspiring English sources

This aims at integrating partial knowledge in terms of functionalities in order to more specifically predict gene and protein function in rather sparsely annotated organisms.

Finally, we fitted multivariate Bayesian models to major cancer sites to test the hypothesis that CA frequency could more specifically predict the risk by cancer type (Table 5).

The saliency model based on local symmetry that we present in this paper, on the other hand, does more specifically predict the fixations on the center (third column).

Studies on other markers, particularly one which could more specifically predict the response to hormone therapy are reported by Rigo and Mourou [ 33].

The results suggest that level or type of exposure to potentially traumatic events predicts general emotional distress but more specifically predicts probable PTSD in young people.

More specifically, predicted BC was estimated from a nonlinear land-use regression model which was applied to within the greater Boston metropolitan area [ 36], and predicted PM2.5 exposure was derived from satellite aerosol optical depth measurements to generate both exposure to PM2.5 at the area level (10 × 10 km) and the local level (100 m) based on local land use variables [ 38].

More specifically: Prediction 1.

The Finite Element Method (FEM) is widely used in civil and mechanical engineering to simulate the behavior of complex structures and, more specifically, to predict stress and deformation fields of structural parts or mechanical bodies.

More, specifically, we predict that such divergence should be particularly prominent when comparing nonsynonymous sequence variation at the exon 2-encoded ABS of different species, as diversifying selection is thought to act most stringently at these sites.

More specifically, we predict a positive association between expression of the identified network and brain atrophy when controlling for SDMT performance.

The objective of the present study was to develop and implement a novel bioinformatic pipeline to enable identification of SNPs within amplicons distributed throughout the allohexaploid tall fescue genome, and more specifically, to predict and validate the SNPs within each of the three sub-genomes.