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Towards an automated statistical workflow for biomarker screening in Fourier-transform infrared spectroscopy

2019-04-18Conference object Restricted access
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dc.contributor.authorRibeiro Da Cunha, Bernardo
dc.contributor.authorAleixo, Sandra
dc.contributor.authorFonseca, Luís P.
dc.contributor.authorCalado, Cecília
dc.date.accessioned2019-05-20T11:17:10Z
dc.date.available2019-05-20T11:17:10Z
dc.date.issued2019-04-18
dc.descriptionEste trabalho foi financiado pelo Concurso Anual para Projetos de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) 2017 do Instituto Politécnico de Lisboa. Código de referência IPL/2017/DrugsPlatf/ISEL
dc.descriptionEste trabalho foi financiado pelo Concurso Anual para Projetos de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) 2018 do Instituto Politécnico de Lisboa. Código de referência IPL/2018/RENALPROG_ISEL
dc.description.abstractThe increasing availability and sensitivity of analytical technologies has resulted in much higher complexity of molecular and cellular data, which biomarkers facilitate the bridge with a given biological state under scrutiny. Importantly, biomarkers are critical in spectroscopic technologies, as is the case of Fourier-transform infrared spectroscopy, for which different approaches to identify biomarkers have been established, for instance univariate statistical hypothesis tests. A workflow for the automatic application of said statistical tests is proposed with the objective of enabling a high throughput screening-approach that ensures statistical robustness, and works in a user-independent manner, thereby reducing analysis bias. The proposed workflow is the first step towards an automated method for biomarker screening, thus it is limited to distinguishing two populations. Firstly, the method used in previous work was improved to ensure the most powerful and accurate statistical tests are applied. Then, the statistical workflow was generalized to a more comprehensive range of data sets of two populations, for instance when sample size is not deemed high (less than thirty observations). Lastly, future work is outlined regarding the extension of the workflow to cases with more than two populations, but also of methods that can increase the pool of putative biomarkers that will then be screened for statistical significance.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCUNHA, Bernardo R.; [et al] – Towards an automated statistical workflow for biomarker screening in Fourier-transform infrared spectroscopy. In 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG). Lisbon, Portugal: IEEE, 2019. ISBN 978-1-5386-8506-8. Pp. 1-4pt_PT
dc.identifier.doi10.1109/ENBENG.2019.8692544pt_PT
dc.identifier.isbn978-1-5386-8506-8
dc.identifier.isbn978-1-5386-8507-5
dc.identifier.urihttp://hdl.handle.net/10400.21/10047
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relationProjeto financiado no âmbito do Concurso de Projetos de Investigação, Desenvolvimento, Inovação & Criação Artística (IDI&CA) financiados pelo Instituto Politécnico de Lisboa. IPL/2017/DrugsPlatf/ISELpt_PT
dc.relationProjeto financiado no âmbito do Concurso de Projetos de Investigação, Desenvolvimento, Inovação & Criação Artística (IDI&CA) financiados pelo Instituto Politécnico de Lisboa. IPL/2018/RenalProg/ISELpt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8692544pt_PT
dc.subjectWorkflowpt_PT
dc.subjectBiomarker screeningpt_PT
dc.subjectFourier-transformpt_PT
dc.subjectInfrared spectroscopypt_PT
dc.titleTowards an automated statistical workflow for biomarker screening in Fourier-transform infrared spectroscopypt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FBIO%2F69242%2F2006/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FMAT%2F00006%2F2013/PT
oaire.citation.conferencePlace22-23 Feb. 2019 - Lisbon, Portugalpt_PT
oaire.citation.endPage4pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG)pt_PT
oaire.fundingStream3599-PPCDT
oaire.fundingStream5876
person.familyNameRibeiro da Cunha
person.familyNameAleixo
person.familyNameCalado
person.givenNameBernardo
person.givenNameSandra
person.givenNameCecília
person.identifier130332
person.identifier.ciencia-idEA1E-4BEA-A01E
person.identifier.ciencia-id9418-E320-3177
person.identifier.orcid0000-0002-0303-9416
person.identifier.orcid0000-0003-1740-8371
person.identifier.orcid0000-0002-5264-9755
person.identifier.ridP-6154-2017
person.identifier.ridE-2102-2014
person.identifier.scopus-author-id57211629814
person.identifier.scopus-author-id24829443600
person.identifier.scopus-author-id6603163260
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublicatione8577257-c64c-4481-9b2b-940fedb360cc
relation.isAuthorOfPublication.latestForDiscovery810fc4c7-6c05-44a0-81e5-6cfdb3c2088a
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