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• W184439366 abstract "Recent 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 makes it statistically difficult to extract meaningful information. Preprocessing involves various computational procedures where data from the instruments (gas chromatography (GC)/liquid chromatography (LC)-MS, NMR spectra) are converted into a usable form for further analysis and biological interpretation. This chapter covers the common data preprocessing techniques used in metabonomics and is primarily focused on baseline correction, normalization, scaling, peak alignment, detection, and quantification. Recent years have witnessed development of several software tools for data preprocessing, and an overview of the frequently used tools in data preprocessing pipeline is covered." @default.
• W184439366 created "2016-06-24" @default.
• W184439366 creator A5064756368 @default.
• W184439366 date "2015-01-01" @default.
• W184439366 modified "2023-10-17" @default.
• W184439366 title "Preprocessing of Raw Metabonomic Data" @default.
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• W184439366 doi "https://doi.org/10.1007/978-1-4939-2377-9_10" @default.
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