Sentence examples for approaches which uses from inspiring English sources

Group-based QSAR (GQSAR) is one of the most recent and effective ligand-based drug designing approaches which uses descriptors evaluated specifically for the substituent groups or fragments of the ligands.

Admixture mapping approaches, which uses significantly fewer tests across the genome, have been successfully used to study several traits and phenotypes, including blood pressure phenotypes in African Americans, for which no robust associations had previously been observed using conventional GWAS approaches [ 92].

Our approach is compared with two other existing sparse mapping approaches which use ISP.

Target localization is carried out through several approaches, which use angular and/or distance measurements by network devices.

In this work, we focus on the approaches which use feature matching cost in a global energy minimization framework for estimating the dense disparities.

The present contribution is an alternative to the detailed 3D modelling of the screws using solid elements and simplified approaches which use spring elements at each screw location.

In this paper, the complexity is handled by two-level approaches which use Kriging meta-models with adaptive experimental designs at different levels of the structural reliability analysis.

The preliminary results of the study are compared with the results of some conventional or heuristic approaches which use the same problem set.

Functional convergent genomics approaches, which use a set of candidate genes identified in gene expression-based relevant models [17], [18], [19], have been successful to identify new genes for schizophrenia, antipsychotic induced weight gain and bipolar disorders [20], [21], [22].

This approach is quite different from most approaches which use singly backscattered light to visualize the vasculature.

Two commonly used approaches which use the negative binomial distribution to detect differential expression are DESeq (Anders and Huber, 2010) and edgeR (Robinson et al., 2010).