Reproducible Data Management and Analysis using R

dc.contributor.author	Fjukstad, Bjørn
dc.contributor.author	Shvetsov, Nikita
dc.contributor.author	Nøst, Therese Haugdahl
dc.contributor.author	Bøvelstad, Hege Marie
dc.contributor.author	Halbach, Till
dc.contributor.author	Holsbø, Einar
dc.contributor.author	Hansen, Knut
dc.contributor.author	Bongo, Lars Ailo
dc.date.accessioned	2021-03-08T09:30:59Z
dc.date.available	2021-03-08T09:30:59Z
dc.date.created	2021-01-15T14:06:13Z
dc.date.issued	2020
dc.identifier.isbn	978-82-15-04119-3
dc.identifier.uri	https://hdl.handle.net/11250/2732076
dc.description.abstract	Standardizing 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.iso	eng	en_US
dc.relation.ispartof	Advancing Systems Epidemiology in Cancer - Exploring Trajectories of Gene Expression
dc.title	Reproducible Data Management and Analysis using R	en_US
dc.type	Chapter	en_US
dc.description.version	submittedVersion
cristin.ispublished	true
cristin.fulltext	preprint
cristin.qualitycode	1
dc.identifier.cristin	1872169
dc.source.pagenumber	48-62	en_US