Sentence examples for large set of various from inspiring English sources

This approach is very flexible regarding the number of samples and enables the computation of a large set of various features of the local tissues structure.

From this large set of various BG methods, we have conducted a relevant experimental analysis to evaluate both their robustness and their practical performance in terms of processor/memory requirements.

Subsequently, using the Bayesian selectivity model formulated by Chen et al that was based on a large set of PDZs of various organisms [17], we calculated the most likely interactions of 96% of all PDZ domains encoded in the human genome.

In summary, models have been developed on a large set of molecules of various classes for discriminating EGFR inhibitors and non-inhibitors.

The model has been constructed for the 2.4 GHz band and its performance has been validated with a large set of measurements in various buildings[27].

A large set of data from various published studies has been used here to test the suitability and need for a clustering model based reliability assessment.

The combination of bibliometric methods and a systematic review allows this study to overcome barriers of traditional literature reviews by integrating a large set of publications across various disciplines and leveraging the insights of the larger scientific community.

This device is used to carry out a large set of experiments investigating various mixtures with optical on-line diagnostics (FTIR for HI and H2O, UV visible for I2).

The performance of the model has been validated with a large set of measurements in various buildings [ 16].

We have focused on PPARα, a ligand-activated transcription factor functioning as fatty acid sensor controlling the gene expression regulation of a large set of genes in various metabolic organs such as liver, small intestine or heart.

Since we had to overcome the paucity of kinetic data for M. tuberculosis enzymes, we reengineered the parameters by using a proprietary algorithm that aligned predicted data sets to published data under various growth conditions and a large set of MIC data for various antitubercular agents in stand-alone and doublet combination mode.