Sentence examples for parallel analytic from inspiring English sources

We investigated the role that alternative splicing plays in EAE induction and susceptibility using three parallel analytic approaches: MiDAS, Rank Product of the Splice Index and an Alternative Splicing ANOVA, followed by visual filtering.

This study fulfilled several criteria for trustworthiness within narrative methodology suggested by Riessman [ 20]: an explicitly described methodology; use of tape-recorder; verbatim transcriptions; use of theoretical ideas from Labov and Gee; consideration of coherence of the narratives and concordance of the parallel analytic interpretations.

The objective of this work is to create a software framework for highly parallel analytics of medical big data in the cloud.

The paper presents a new framework based on Hadoop, an open-source system widely used in the industry, to perform distributed and parallel analytics on large synchrophasor datasets.

Baseline changes can be observed, mostly correlating with changing ambient conditions as observed by parallel reference analytics (r.h., T, …).

While Spark is still relatively immature, it has the potential to evolve into the standard framework and API for parallel algorithmic analytics and machine learning.

We modified this method with the inclusion of synthetic ethyltetrahydrofolate as an internal standard and with the use of 2 affinity columns connected in parallel to the analytic column through a switching valve to allow one column to be loaded while the other column was eluted into the analytic column.

On a more general level, data collection and analysis around live event ticket sales and attendance have not advanced in parallel with other analytics tools in entertainment.

H2O is an open source framework that provides a parallel processing engine, analytics, math, and machine learning libraries, along with data preprocessing and evaluation tools.

The three components moving to open source are GemFire, the platform's in-Memory NoSQL Database, the enterprise SQL on Hadoop component, HAWQ and the suite's massively parallel processing (MPP) analytics database, Greenplum DB.

By combining superfast and secure networks, cutting-edge parallel computing and analytics software, and advanced scientific instruments and critical datasets across the U.S., NSF's cyber-ecosystem lets researchers investigate questions that can't otherwise be explored.