A review on metabolomics data analysis for cancer applications

Cancer cells undergo metabolic changes that contribute to tumorigenesis, which can be determined using metabolomics data produced by techniques such as nuclear magnetic resonance and mass spectroscopy, and analyzed through statistical and machine learning methods. Since these data represent well the...

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Bibliographic Details
Main Author: Cardoso, Sara (author)
Other Authors: Baptista, Delora (author), Santos, R. (author), Rocha, Miguel (author)
Format: conferencePaper
Language:eng
Published: 2019
Subjects:
Cancer
Metabolomics
NMR
Mass spectrometry
Machine learning
Chemometrics
Science & Technology
Online Access:http://hdl.handle.net/1822/56378
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/56378

Internet

http://hdl.handle.net/1822/56378

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