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The quantitative evaluation of functional neuroimaging experiments: the NPAIRS data analysis framework.
One product was an enhanced data analysis framework, based on the Hadoop software used by Internet companies for Big Data analysis.
This work is an important step towards a comprehensive PTA/TTA data analysis framework for multi-phase production wells.
A Bayesian method for estimation of a hazard term structure is presented in a functional data analysis framework.
However, the actual research design and data analysis framework could be used to investigate the same problem in other industries.
A big data analysis framework to effectively retrieve and calculate required information from dynamic BIMs in the data center for various applications by MapReduce distributed computing was proposed this study.
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Here, we propose a data analysis framework-Temporal microstructure of cortical networks (TMCN -that answers TMCN -thattions for EEG/MEG recordings in the signanswerse.
In this section, we will start with a brief introduction to data analysis frameworks and platforms, followed by a comparison of them.
We propose that the mod k-prototypes clustering method will provide a feasible computational alternative to embark on bridging multi-domain data analysis frameworks for integrative genomics, systems biology, pharmacology and toxicology.
The degree of automation in QuickNGS is much higher than, for instance, that of an appropriate workflow in popular data analysis frameworks like Galaxy [ 7], GenePattern [ 17] or Chipster [ 10].
We introduce a data-analysis framework and performance metrics for evaluating and optimizing the interaction between activation tasks, experimental designs, and the methodological choices and tools for data acquisition, preprocessing, data analysis, and extraction of statistical parametric maps (SPMs).
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