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hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorJACOB, Daniel
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorDEBORDE, Catherine
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorMOING, Annick
dc.description.abstractEnBioStatFlow is a free web application, useful to facilitate the performance of statistical analyses of "omics", including metabolomics, data using R packages. It is a fast and easy on-line tool for biologists who are not experts in univariate and multivariate statistics, do not have time to learn R language, and only have basic notions in biostatistics. It guides the biologist through the different steps of a statistical workflow, from data normalization and imputation of missing data to univariate and multivariate analyses. It also includes tools to reconstruct and visualize networks based on correlations. All outputs are easily saved in a session or downloaded. New analytical modules can be easily included upon request. BioStatFlow is available online: http://biostatflow.org
dc.language.isoen
dc.subject.enBioinformatics
dc.subject.enBiostatistics
dc.subject.enWebtool
dc.title.enBioStatFlow -Statistical Analysis Workflow for "Omics" Data
dc.typeDocument de travail - Pré-publication
dc.typePrepublication/Preprint
dc.subject.halInformatique [cs]/Bio-informatique [q-bio.QM]
dc.identifier.arxiv2007.04599
hal.identifierhal-02894113
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02894113v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=JACOB,%20Daniel&DEBORDE,%20Catherine&MOING,%20Annick&rft.genre=preprint&unknown


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