Predicting Gastric Cancer Molecular Subtypes from Gene Expression Data

(This article belongs to the Proceedings of 3rd XoveTIC Conference)

Detalles Bibliográficos
Autores: Moreno, Marta, Sousa, Abel, Melé, Marta|||0000-0001-8874-6453, Oliveira, Rui, Ferreira, Pedro G.
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/329190
Acceso en línea:https://hdl.handle.net/2117/329190
https://dx.doi.org/10.3390/proceedings2020054059
Access Level:acceso abierto
Palabra clave:Cancer -- Molecular aspects
Stomach--Cancer
Gene expression
Gastric cancer
Disease classification
Machine learning
Càncer -- Aspectes moleculars
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
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oai_identifier_str oai:upcommons.upc.edu:2117/329190
network_acronym_str ES
network_name_str España
repository_id_str
spelling Predicting Gastric Cancer Molecular Subtypes from Gene Expression DataProceedings, 2020, XoveTIC 2020Moreno, MartaSousa, AbelMelé, Marta|||0000-0001-8874-6453Oliveira, RuiFerreira, Pedro G.Cancer -- Molecular aspectsStomach--CancerGene expressionGene expressionGastric cancerDisease classificationMachine learningCàncer -- Aspectes molecularsÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica(This article belongs to the Proceedings of 3rd XoveTIC Conference)Stomach cancer is a complex disease and one of the leading causes of cancer mortality in the world. With the view to improve patient diagnosis and prognosis, it has been stratified into four molecular subtypes. In this work, we compare the results of multiple machine learning algorithms for the prediction of stomach cancer molecular subtypes from gene expression data. Moreover, we show the importance of decorrelating clinical and technical covariates.This work was supported by the FCT (Fundação para a Ciência e a Tecnologia) research grant Ph.D. Studentship SFRH/BD/145707/2019 and the research grant IF/01127/2014, funded in the scope of the FCT Investigator Exploratory Project: “Understanding the impact of acquired and germline genetic variants in the complexity of gastric cancer”; GenomePT project (reference 22184): “National Laboratory for Genome Sequencing and Analysis”; QREN L3 project (reference NORTE-01-0145-FEDER-000029): “Mapping genetic and phenotypic heterogeneity in HER2 positive cancers to anticipate and counteract resistance phenotypes”.Peer ReviewedMDPI20202020-01-0120202020-09-23journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/329190https://dx.doi.org/10.3390/proceedings2020054059reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 3.0 Spainhttp://creativecommons.org/licenses/by/3.0/es/Attribution 3.0 Spainhttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3291902026-05-27T15:37:01Z
dc.title.none.fl_str_mv Predicting Gastric Cancer Molecular Subtypes from Gene Expression Data
Proceedings, 2020, XoveTIC 2020
title Predicting Gastric Cancer Molecular Subtypes from Gene Expression Data
spellingShingle Predicting Gastric Cancer Molecular Subtypes from Gene Expression Data
Moreno, Marta
Cancer -- Molecular aspects
Stomach--Cancer
Gene expression
Gene expression
Gastric cancer
Disease classification
Machine learning
Càncer -- Aspectes moleculars
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
title_short Predicting Gastric Cancer Molecular Subtypes from Gene Expression Data
title_full Predicting Gastric Cancer Molecular Subtypes from Gene Expression Data
title_fullStr Predicting Gastric Cancer Molecular Subtypes from Gene Expression Data
title_full_unstemmed Predicting Gastric Cancer Molecular Subtypes from Gene Expression Data
title_sort Predicting Gastric Cancer Molecular Subtypes from Gene Expression Data
dc.creator.none.fl_str_mv Moreno, Marta
Sousa, Abel
Melé, Marta|||0000-0001-8874-6453
Oliveira, Rui
Ferreira, Pedro G.
author Moreno, Marta
author_facet Moreno, Marta
Sousa, Abel
Melé, Marta|||0000-0001-8874-6453
Oliveira, Rui
Ferreira, Pedro G.
author_role author
author2 Sousa, Abel
Melé, Marta|||0000-0001-8874-6453
Oliveira, Rui
Ferreira, Pedro G.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Cancer -- Molecular aspects
Stomach--Cancer
Gene expression
Gene expression
Gastric cancer
Disease classification
Machine learning
Càncer -- Aspectes moleculars
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
topic Cancer -- Molecular aspects
Stomach--Cancer
Gene expression
Gene expression
Gastric cancer
Disease classification
Machine learning
Càncer -- Aspectes moleculars
Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
description (This article belongs to the Proceedings of 3rd XoveTIC Conference)
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01
2020
2020-09-23
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/329190
https://dx.doi.org/10.3390/proceedings2020054059
url https://hdl.handle.net/2117/329190
https://dx.doi.org/10.3390/proceedings2020054059
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 3.0 Spain
http://creativecommons.org/licenses/by/3.0/es/
Attribution 3.0 Spain
https://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 3.0 Spain
http://creativecommons.org/licenses/by/3.0/es/
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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