Author

Vincent Fortuin

ETH ZurichORCID 0000-0002-0640-2671Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Eirini ArvanitiiD· 1 shared Manfred ClaasseniD· 1 shared Max HorniD· 1 shared Stefan GanschaiD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 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

1 shared paperSystems Biology

Eirini ArvanitiORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Supervised learning on synthetic data for reverse engineering gene regulatory networks from experimental time-series

Stefan Ganscha, Vincent Fortuin, Max Horn, Eirini Arvaniti, Manfred Claassen

This paper introduces a supervised learning method using synthetic data to reconstruct gene regulatory networks from experimental time-series, showing superior performance compared to unsupervised methods.

bioRxiv · Jun 27, 2018 · PreprintSystems Biology