Author

Andrei Zinovyev

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genetics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Emmanuel BarillotiD· 2 shared Laurence CalzoneiD· 2 shared Emmanuel Barillot· 1 shared Eric Bonnet· 1 shared Paul Deveau· 1 shared Urszula Czerwinska· 1 shared Valentina Boeva· 1 shared

Activity by Year

2015-2016 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 9 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersSystems Biology

Emmanuel BarillotORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Calculating biological module enrichment or depletion and visualizing data on large-scale molecular maps with ACSNMineR and RNaviCell R packages

Paul Deveau, Emmanuel Barillot, Valentina Boeva, Andrei Zinovyev, Eric Bonnet

The paper introduces two R packages, ACSNMineR and RNaviCell, for pathway enrichment analysis and visualization of biological data on molecular maps.

bioRxiv · Jul 22, 2016 · PreprintBioinformatics

DeDaL: Cytoscape 3.0 app for producing and morphing data-driven and structure-driven network layouts

Urszula Czerwinska, Laurence Calzone, Emmanuel Barillot, Andrei Zinovyev

DeDaL creates data-driven and structure-driven network layouts in Cytoscape using dimension reduction and morphing techniques to align with molecular profiling data.

bioRxiv · Feb 2, 2015Systems Biology

Predicting genetic interactions from Boolean models of biological networks

Laurence Calzone, Emmanuel Barillot, Andrei Zinovyev

The paper describes a computational method to predict genetic interactions from Boolean models of biological networks using probabilistic simulations and analyzes their properties.

Integrative Biology · Jan 1, 2015Peer-reviewedGenetics