Sentence examples for numerous data analysis from inspiring English sources

Companies like I.B.M., Oracle and Microsoft, along with numerous data analysis start-ups, have all in recent years spent heavily on technology and talent to serve companies directly, bypassing agencies and consultancies.

As shown in numerous data analysis applications, use of the median filtering instead of a classic averaging preserves strong gradients in the source data while suppressing the short-term variability with periods below the filter length (27 days in our case).

In biology, powerful computers and numerous tools for data analysis is crucial in drug discovery and other areas, and biologists get neither their feet nor their hands wet [15].

The proliferation of next generation sequencing technologies has created numerous data management and analysis issues.

There are numerous techniques designed for data analysis in images, and a variety of statistical indicators for data processing.

Current paper-based evaluation instruments have numerous limitations: difficulty in data analysis, significant delays in identifying problem trends and poor user compliance.

Compared to the numerous improvements in microarray data analysis and clustering methods [ 17- 19], the problem of cross-hybridization between genes of a given organism has rarely been addressed so far.

Numerous published simulations claim that data analysis based on structural factor demand models implies that the impact of immigration on the wage of the average worker is x percent, or that the impact on the wage of the average worker in a particular skill group is y percent.

Despite the numerous software programs for microarray data analysis, the majority do not provide any statistical modeling tools for analyzing dose-response studies.

It was clear from data analysis that numerous system/institutional-based factors could be linked to greater public trust in GPs relative to pharmacists in the Scottish setting (see box 3).

Unlike gene expression data for which both the technologies and methods have matured, GWAS data analysis presents numerous challenges, including testing millions of SNPs per sample and subsequent multiple test corrections, complex local linkage disequilibrium (LD) structures, and heavy computational duties due to thousands of samples, especially in permutation analysis.