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Potentiality of volatile organic compounds to discriminate patients with cancer by using chemometric tools

dc.contributor.authorMonteiro, Márcia Sá
dc.contributor.authorCarvalho, Márcia
dc.contributor.authorBastos, Maria de Lourdes
dc.contributor.authorGuedes de Pinho, Paula
dc.date.accessioned2021-07-05T10:17:34Z
dc.date.available2021-07-05T10:17:34Z
dc.date.issued2015
dc.description.abstractMetabolomics for the diagnosis of tumor and monitoring treatment is a promising concept since tumor metabolism markedly differs from the metabolism of normal cells. By monitoring changes in metabolite levels, we might be able to detect cancer and better understand cancer pathological processes and progression.Untargeted metabolomics provides an enormous volume of data that cannot be manually analyzed. Thus, before data analysis, NMR and MS spectra must be corrected for all variation caused by experimental variables. This is a critical part in the data mining process as it can drastically interfere with the next step – multivariate statistical analysis (chemometrics). In this review, we will focus on the potentialities of volatile organic compounds (VOCs) to discriminate patients with cancer. For this purpose,we will describe, first, data mining and extracting performed before NMR and MS data analysis. Furthermore, chemometric tools used for pattern recognition and statistical analysis will be described.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.4155/fseb2013.14.178pt_PT
dc.identifier.isbn978-1-910419-46-5
dc.identifier.urihttp://hdl.handle.net/10284/10053
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherFuture Medicinept_PT
dc.relation2013 - Strategic Project
dc.subjectMetabolomicspt_PT
dc.subjectCancerpt_PT
dc.subjectVolatile organic compoundspt_PT
dc.titlePotentiality of volatile organic compounds to discriminate patients with cancer by using chemometric toolspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitle2013 - Strategic Project
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6820 - DCRRNI ID/PEst-C%2FEQB%2FLA0006%2F2013/PT
oaire.citation.endPage184pt_PT
oaire.citation.startPage166pt_PT
oaire.citation.titleIdentification and Data Processing Methods in Metabolomicspt_PT
oaire.fundingStream6820 - DCRRNI ID
person.familyNameCarvalho
person.givenNameMarcia
person.identifier2017111
person.identifier.ciencia-id8B10-171E-E63E
person.identifier.orcid0000-0001-9884-4751
person.identifier.ridD-5999-2013
person.identifier.scopus-author-id7201413997
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication3837b828-ba57-47f7-a811-cce65e4922c6
relation.isAuthorOfPublication.latestForDiscovery3837b828-ba57-47f7-a811-cce65e4922c6
relation.isProjectOfPublicationd95a62fe-3df1-48d6-b300-1ec7283d043b
relation.isProjectOfPublication.latestForDiscoveryd95a62fe-3df1-48d6-b300-1ec7283d043b

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