Author

Oliver Kohlbacher

Primary ORCID profile (0000-0003-1739-4598 · 22 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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

Same name, identified by ORCID

Oliver KohlbacheriD22 papers · Universitätsklinikum Tübingen

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

Andy Christoforou· 1 shared Arnoud J Groen· 1 shared Claire M Mulvey· 1 shared David Wojnar· 1 shared Kathryn S Lilley· 1 shared Laurent Gatto· 1 shared Lisa M Breckels· 1 shared Matthew WB Trotter· 1 shared

Activity by Year

2016-2016 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 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 paperBioinformatics

Andy Christoforou

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Learning from heterogeneous data sources: an application in spatial proteomics

Lisa M Breckels, Sean Holden, David Wojnar, Claire M Mulvey, Andy Christoforou, Arnoud J Groen, Matthew WB Trotter, Oliver Kohlbacher, Kathryn S Lilley, Laurent Gatto

The paper develops a transfer learning framework to integrate heterogeneous data sources for improved sub-cellular protein localization in spatial proteomics.

bioRxiv · Mar 4, 2016Bioinformatics