Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry

Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry

Metabolomics entails the comprehensive characterization of the ensemble of endogenous and exogenous metabolites present in a biological specimen. Metabolites represent, at the same time, the downstream output of the genome and the upstream input from various external factors, such as the environment...

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HerausgeberIn:
Meoni, Gaia
Tenori, Leonardo
Sonstige:
Vignoli, Alessia
Meoni, Gaia
Tenori, Leonardo
Year of Publication:2022
Language:English
Physical Description:1 electronic resource (136 p.)
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spelling Vignoli, Alessia edt
Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry
Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy
Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
1 electronic resource (136 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Metabolomics entails the comprehensive characterization of the ensemble of endogenous and exogenous metabolites present in a biological specimen. Metabolites represent, at the same time, the downstream output of the genome and the upstream input from various external factors, such as the environment, lifestyle, and diet. Therefore, in the last few years, metabolomic phenotyping has provided unique insights into the fundamental and molecular causes of several physiological and pathophysiological conditions. In parallel, metabolomics has been demonstrating an emerging role in monitoring the influence of different manufacturing procedures on food quality and food safety. In light of the above, this collection includes the latest research from various fields of NMR-based metabolomics applications ranging from biomedicine to data mining and food chemistry.
English
Research & information: general bicssc
Biology, life sciences bicssc
Biochemistry bicssc
NMR metabolomics
human plasma
COVID-19
exhaled breath condensate
nanoparticles exposure
metabolomics
colorectal cancer
nuclear magnetic resonance
surgery
relapse
phenotyping
nuclear magnetic resonance spectroscopy
coffee beans
coffee processing
coffee varieties
post-harvest treatment
NMR spectroscopy
neonatal sepsis
EOS
LOS
preterm birth
NMR
biomarkers
clustering
artificial intelligence
machine learning
deep learning
health science
3-0365-4553-0
3-0365-4554-9
Meoni, Gaia edt
Tenori, Leonardo edt
Vignoli, Alessia oth
Meoni, Gaia oth
Tenori, Leonardo oth
language English
format eBook
author2 Meoni, Gaia
Tenori, Leonardo
Vignoli, Alessia
Meoni, Gaia
Tenori, Leonardo
author_facet Meoni, Gaia
Tenori, Leonardo
Vignoli, Alessia
Meoni, Gaia
Tenori, Leonardo
author2_variant a v av
g m gm
l t lt
author2_role HerausgeberIn
HerausgeberIn
Sonstige
Sonstige
Sonstige
title Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry
spellingShingle Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry
title_full Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry
title_fullStr Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry
title_full_unstemmed Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry
title_auth Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry
title_alt Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy
title_new Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry
title_sort research in metabolomics via nuclear magnetic resonance spectroscopy: data mining, biochemistry and clinical chemistry
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2022
physical 1 electronic resource (136 p.)
isbn 3-0365-4553-0
3-0365-4554-9
illustrated Not Illustrated
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AT tenorileonardo researchinmetabolomicsvianuclearmagneticresonancespectroscopydataminingbiochemistryandclinicalchemistry
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