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dc.creatorJuan Emmanuel Martínez Ledesma
dc.creatorVíctor Manuel Treviño Alvarado
dc.creatorJosé Gerardo Tamez Peña
dc.date2013
dc.date.accessioned2018-10-18T19:54:17Z
dc.date.available2018-10-18T19:54:17Z
dc.identifier.issn19326203
dc.identifier.doi10.1371/journal.pone.0074250
dc.identifier.urihttp://hdl.handle.net/11285/630273
dc.descriptionValidation of multi-gene biomarkers for clinical outcomes is one of the most important issues for cancer prognosis. An important source of information for virtual validation is the high number of available cancer datasets. Nevertheless, assessing the prognostic performance of a gene expression signature along datasets is a difficult task for Biologists and Physicians and also time-consuming for Statisticians and Bioinformaticians. Therefore, to facilitate performance comparisons and validations of survival biomarkers for cancer outcomes, we developed SurvExpress, a cancer-wide gene expression database with clinical outcomes and a web-based tool that provides survival analysis and risk assessment of cancer datasets. The main input of SurvExpress is only the biomarker gene list. We generated a cancer database collecting more than 20,000 samples and 130 datasets with censored clinical information covering tumors over 20 tissues. We implemented a web interface to perform biomarker validation and comparisons in this database, where a multivariate survival analysis can be accomplished in about one minute. We show the utility and simplicity of SurvExpress in two biomarker applications for breast and lung cancer. Compared to other tools, SurvExpress is the largest, most versatile, and quickest free tool available. SurvExpress web can be accessed in http://bioinformatica.mty.itesm.mx/SurvExpress (a tutorial is included). The website was implemented in JSP, JavaScript, MySQL, and R. © 2013 Aguirre-Gamboa et al.
dc.languageeng
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84884180105&doi=10.1371%2fjournal.pone.0074250&partnerID=40&md5=5aabe878b0bd569de1e230c9b2791276
dc.relationInvestigadores
dc.relationEstudiantes
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourcePLoS ONE
dc.subjectbiological marker
dc.subjectarticle
dc.subjectbreast cancer
dc.subjectcancer genetics
dc.subjectcancer prognosis
dc.subjectcancer survival
dc.subjectcomputer interface
dc.subjectcomputer program
dc.subjectcontrolled study
dc.subjectgene expression
dc.subjectgenetic database
dc.subjectintermethod comparison
dc.subjectlung cancer
dc.subjectonline system
dc.subjectrisk assessment
dc.subjectvalidation process
dc.subjectBiological Markers
dc.subjectDatabases, Factual
dc.subjectGene Expression Profiling
dc.subjectHumans
dc.subjectInternet
dc.subjectNeoplasms
dc.subjectSurvival Analysis
dc.subject.classification7 INGENIERÍA Y TECNOLOGÍA
dc.titleSurvExpress: An Online Biomarker Validation Tool and Database for Cancer Gene Expression Data Using Survival Analysis
dc.typeArtículo
dc.identifier.volume8
dc.identifier.issue9
refterms.dateFOA2018-10-18T19:54:17Z


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