Sentence examples for computational score from inspiring English sources

7 In this study we aimed to systematically analyse all the prospective cohort studies that evaluated the effect of a computational score estimating adherence to a Mediterranean diet on health status.

A future direction is to improve upon methodologies like RVIS [ 26] and expand beyond the rate of mutation by employing statistical machine learning techniques to incorporate the genic and allelic features as highlighted in this study and previous works to summarize them into a single computational score.

However, a computational scoring aid is still required.

Tail moment values were quantified by computational scoring of 100 randomly selected comets per gel [ 23].

Compared to manual calls, computational scoring was 98.0% accurate at determining present calls and 98.8% accurate for absent calls.

This speculative model has been constructed by integrating experimental data, physical constraints, and computational scoring functions (see Appendix 1 for details).

We proposed a new computational scoring scheme, called weighted support, which uses phylogenetic information for identifying the drug resistance-associated mutations.

With the development of affinity purification-mass spectrometry (AP-MS) techniques, several computational scoring methods have been proposed to detect protein interactions from AP-MS data.

The CGWR browser contains tracks for predicted TF binding sites (TFBS) according to both PSSM based computational scores (JASPAR track) [ 15], as well as literature based data correspondence (PLACE tracks) [ 14].

This discrepancy was widely interpreted as suggesting the incompleteness or unreliability of high-throughput interaction data, but it was later ascribed to differences in the computational scoring and post-processing of each PPI network, indicating that inconsistent data analysis is a major outstanding issue for the field.

The execution times of all sites are presented in boxplot form for all workflow runs in Fig. 4. The X axis represents the total computational power score of the sites participating in the workflow and the Y axis, in logarithmic scale, represents the site execution time in seconds.