Author

Marc Clastre

Université de ToursORCID 0000-0001-8682-2731Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:statistical model· 1

Frequent Co-Authors

Dimitri DauduiD· 1 shared Franziska LieseckeiD· 1 shared Gaëlle Glévarec· 1 shared Joël Crèche· 1 shared Johan‐Owen De CraeneiD· 1 shared Nathalie Giglioli‐Guivarc’hiD· 1 shared Olivier PichoniD· 1 shared Rodolphe Dugé de Bernonville· 1 shared

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2018-2018 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Dimitri DauduORCID

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1 paper

Recent·Most cited

BioinformaticsScientific ReportsPeer-reviewedJul 12, 2018

Ranking genome-wide correlation measurements improves microarray and RNA-seq based global and targeted co-expression networks

Franziska Liesecke, Dimitri Daudu, Rodolphe Dugé de Bernonville…·Thomas Dugé de Bernonville

The paper evaluates correlation methods for constructing co-expression networks using microarray and RNA-seq data in Arabidopsis thaliana, finding that PCC with HRR performs best for global networks and pathway-level correlations.

70 citationstop 5%

Arabidopsisbulk RNA-seq

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