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In this work, the usefulness of two complementary techniques, mean-field density functional theory (MF-DFT) and micro-computerized X-ray tomography (micro-CXT), for aiding interpretation of ambiguous mercury porosimetry data has been explored.
Although we are not aware of any successful implementations, the potential of deep learning for interpreting big data has been explored.56 Multiple deep learning architectures were evaluated for suitability to handle the challenges of big data analytics, including volume of data, speed of processing and low data quality.
Identification of bias in short-read data has been explored in other work, such as that of Dohm et al. [10] and Harismendy et al. [11].
The concept of conducting a causality analysis based on genetic marker data has been explored by several authors [ 13- 22].
miRanda data has been explored for LHON; all genes are found to be under regulation of miRNA.
RNA-Seq technology, with its digital gene expression data, has been explored as a quantitative method to analyze differential gene expression between different physiological states of a given organism.
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Different data sources of (or methodologies to obtain) spatially distributed data have been explored for the first subset.
After the data have been explored visually, the next course of action is to quantify any observed behavior and to statistically test the hypotheses that were formulated earlier.
To address this problem, several possibilities to extend in time the empirical contact data have been explored [ 41].
Pregnancies complicated by low birth weight (LBW), spontaneous preterm delivery, and small for gestational age (SGA) infants have been shown to have reduced antioxidant and increased pro-oxidant levels, although no correlational data have been explored to establish this link [ 8].
As well as these monoparametric approaches, a multiparametric approach such as data fusion has been explored: it is a method designed to compute data from multiple sensors and to use the redundancy to improve the quality of the information produced in terms of the quality of the monitored data and alarm management.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com