Sentence examples for a specific data analysis from inspiring English sources

A further RAP path carries out a specific data analysis to detect chimeric transcripts, i.e. RNAs encoded by a fusion gene or by two different genes through a trans-splicing event.

DA is a statistic technique belonging to the so-called "supervised pattern recognition methods," useful for carrying out specific data analysis when a previous unsupervised pattern recognition method, such as PCA, has suggested a potential discrimination among the data.

No specific data analysis scheme was set a priori in the aim of allowing the qualitative researchers to develop theories and schemes of analysis as they worked their data.

To this end, it is important to know how the data collection function reflects user behavior, and how specific data analysis approaches help making design decisions.

Through actor-oriented and hierarchical modeling features built into Ptolemy, Kepler scientific workflows can operate at very different level of granularity, from low-level "plumbing workflows" that explictely move data around, start and monitor remote jobs, etc. to high-level "conceptual workflows" that interlink complex, domain specific data analysis steps.

No specific data analysis was available differentiating changes in children from adolescents.

This study of road accidents requires specific data analysis in order to obtain the risk factors and the safety performances.

In this context, the study of road accidents requires specific data analysis to obtain the risk factors and the safety performances.

In the prior sections, we discussed some recent applications of Deep Learning algorithms for Big Data Analytics, as well as identified some areas where Deep Learning research needs further exploration to address specific data analysis problems observed in Big Data.

Those mutations typically require specific data analysis models and tests that are different than those for single-nucleotide variants.

Additional studies may be useful to assess more specific data analysis components, such as cross-validation techniques for estimating predictive performance of supervised classification models in medical diagnosis and prognosis.