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dc.contributor.authorFjukstad, Bjørn
dc.contributor.authorShvetsov, Nikita
dc.contributor.authorNøst, Therese Haugdahl
dc.contributor.authorBøvelstad, Hege Marie
dc.contributor.authorHalbach, Till
dc.contributor.authorHolsbø, Einar
dc.contributor.authorHansen, Knut
dc.contributor.authorBongo, Lars Ailo
dc.date.accessioned2021-09-11T05:05:42Z
dc.date.available2021-09-11T05:05:42Z
dc.date.created2021-01-15T14:06:13Z
dc.date.issued2020
dc.identifier.isbn978-82-15-04119-3
dc.identifier.urihttps://hdl.handle.net/11250/2775296
dc.description.abstractStandardizing and documenting computational analyses is necessary to ensure reproducible results. We describe an R-based implementation of data management and preprocessing that is well integrated with the analysis tools typically used for statistical analysis of omics data. We have used these tools to organize data storage and documentation, and to standardize the analysis of gene expression data, in the Norwegian Women and Cancer study.
dc.language.isoeng
dc.relation.ispartofAdvancing Systems Epidemiology in Cancer - Exploring Trajectories of Gene Expression
dc.titleReproducible Data Management and Analysis using R
dc.typeChapter
dc.description.versionsubmittedVersion
dc.source.pagenumber48-62
dc.identifier.doihttp://dx.doi.org/10.1101/644625
dc.identifier.cristin1872169
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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