Preprocessing of NMR metabolomics data

نویسندگان
چکیده

منابع مشابه

Preprocessing of NMR metabolomics data.

Metabolomics involves the large scale analysis of metabolites and thus, provides information regarding cellular processes in a biological sample. Independently of the analytical technique used, a vast amount of data is always acquired when carrying out metabolomics studies; this results in complex datasets with large amounts of variables. This type of data requires multivariate statistical anal...

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Data preprocessing method for liquid chromatography-mass spectrometry based metabolomics.

A set of data preprocessing algorithms for peak detection and peak list alignment are reported for analysis of liquid chromatography-mass spectrometry (LC-MS)-based metabolomics data. For spectrum deconvolution, peak picking is achieved at the selected ion chromatogram (XIC) level. To estimate and remove the noise in XICs, each XIC is first segmented into several peak groups based on the contin...

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NMR-Based Milk Metabolomics

Milk is a key component in infant nutrition worldwide and, in the Western parts of the world, also in adult nutrition. Milk of bovine origin is both consumed fresh and processed into a variety of dairy products including cheese, fermented milk products, and infant formula. The nutritional quality and processing capabilities of bovine milk is closely associated to milk composition. Metabolomics ...

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MVAPACK: A Complete Data Handling Package for NMR Metabolomics

Data handling in the field of NMR metabolomics has historically been reliant on either in-house mathematical routines or long chains of expensive commercial software. Thus, while the relatively simple biochemical protocols of metabolomics maintain a low barrier to entry, new practitioners of metabolomics experiments are forced to either purchase expensive software packages or craft their own da...

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ژورنال

عنوان ژورنال: Scandinavian Journal of Clinical and Laboratory Investigation

سال: 2015

ISSN: 0036-5513,1502-7686

DOI: 10.3109/00365513.2014.1003593