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Preprocessing of Raw Metabonomic Data
2015Recent advances in metabolic profiling techniques allow global profiling of metabolites in cells, tissues, or organisms, using a wide range of analytical techniques such as nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS). The raw data acquired from these instruments are abundant with technical and structural complexity, which ...
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Innovations in research and clinical care using patient‐generated health data
Ca-A Cancer Journal for Clinicians, 2020H S L Jim +2 more
exaly
Data Quality Visualization for Preprocessing
2016Preprocessing is often the most time-consuming phase in data analysis and interdependent data quality issues a cause of suboptimal modelling results. The design problem addressed in this paper is: what kind of framework can support visualization of data quality issue interdependencies for faster and more effective preprocessing? An object framework was
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Electroencephalography Data Preprocessing
2016Electroencephalography provides measurements of electrical potential in the form of a time signal for each electrode. Although they only partially reflect the brain's underlying electrophysiological phenomena, these measurements contain a significant amount of information, which is used in clinical diagnosis and cognitive sciences, as well brain ...
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