Author

Fabian Theis

Helmholtz Munich

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 Cancer Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Approach:deep learning· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Anastasiia GrekovaiD· 1 shared Anne C. RiosiD· 1 shared Anoek ZomeriD· 1 shared Benjamin SchubertiD· 1 shared Brigit M. te PasiD· 1 shared Carsten MarriD· 1 shared Christoph OgrisiD· 1 shared Cristian Ruiz-MorenoiD· 1 shared

Activity by Year

2015-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 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

Anastasiia GrekovaORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Cancer-myeloid cell invasive program in pediatric-type diffuse high-grade glioma

Cristian Ruiz-Moreno, Raphaël V U Collot, Thijs J M van den Broek, Ellen J. Wehrens, Nils Bessler, Gitanjali Dharmadhikari, Brigit M. te Pas, Ignacio L. Ibarra, Dennis Serge Metselaar, Mariëtte E.G. Kranendonk, Eelco Wieger Hoving, Jasper van der Lugt, Friso Calkoen, Anoek Zomer, Fabian Theis, , Hendrik G. Stunnenberg

This paper presents an integrative multimodal atlas of pediatric-type diffuse high-grade gliomas, identifying cancer-myeloid cell programs and distinct cancer cell states across multiple patients.

bioRxiv · Jan 25, 2026 · PreprintCancer Biology

Multi-Omics Regulatory Network Inference in the Presence of Missing Data

Juan Henao, Michael Lauber, Manuel Azevedo, Anastasiia Grekova, Fabian Theis, Markus List, Christoph Ogris, Benjamin Schubert

This paper integrates missing data handling into KiMONo for multi-omics regulatory network inference and benchmarks its performance on different missing data scenarios.

bioRxiv · Apr 14, 2022 · PreprintSystems Biology

destiny – diffusion maps for large-scale single-cell data in R

Philipp Angerer, Laleh Haghverdi, Maren Büttner, Fabian Theis, Carsten Marr, Florian Buettner

The paper introduces destiny, an R package for diffusion maps in single-cell data, with efficient nearest-neighbour approximation and noise modeling for large datasets.

bioRxiv · Oct 9, 2015Bioinformatics