Author

S. Weil

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

Cancer Biology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Organism:human· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein structure prediction· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

F. Winkler· 2 shared A. Abdollahi· 1 shared A. Ernst· 1 shared A. Korshunov· 1 shared A. Li· 1 shared C. Herold-Mende· 1 shared D. C. Hoffmann· 1 shared D. D. Azorin· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 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 papersCancer Biology

F. Winkler

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Spatial and temporal transcriptomics of SHH-medulloblastoma with chromothripsis identifies multiple genetic clones that resist to treatment and lead to relapse

I. Kats, H. S. Schreiber, M. Simovic, P. Sant, J.-P. Mallm, A. Li, P. Velmurugan, S. Weil, F. Devens, M. Sill, M. Jugold, M. Moustafa, A. Abdollahi, F. Winkler, A. Korshunov, , A. Ernst

This study uses spatial transcriptomics to analyze chromothriptic medulloblastomas, revealing higher intra-tumour heterogeneity, treatment resistance, and relapse mechanisms through clone-specific features.

bioRxiv · Mar 3, 2023 · PreprintCancer Biology

A connectivity signature for glioblastoma

L. Hai, D. C. Hoffmann, H. Mandelbaum, R. Xie, J. Ito, E. Jung, S. Weil, P. Sievers, V. Venkataramani, D. D. Azorin, K. Ernst, D. Reibold, R. Will, M. L. Suva, C. Herold-Mende, , T. Kessler

This paper establishes and validates a connectivity signature in glioblastoma using scRNA-Seq data, showing high connectivity correlates with poor patient survival and specific molecular subtypes.

bioRxiv · Nov 7, 2021 · PreprintCancer Biology