Virtual tissue expression analysis
R package available at https://github.com/spang-lab/tissueResolver (archived as 10.5281/zenodo.14160846).Code for reproducing the results of this article is available at https://github.com/spang-lab/tissueResolver-docs archived as swh:1:dir:faea2d4f0ded30de774b28e028299ddbdd0c4f89).
Authors
- Rainer Spang (ORCID: https://orcid.org/0000-0002-1326-4297)
- Michael Huttner (ORCID: https://orcid.org/0000-0002-3766-5909)
- Michael Altenbuchinger (ORCID: https://orcid.org/0000-0003-1102-6532)
- Marian Schön (ORCID: https://orcid.org/0000-0003-0882-5392)
- Paul Hüttl (ORCID: https://orcid.org/0009-0007-6959-8003)
- Tobias S. Schmidt (ORCID: https://orcid.org/0000-0002-7971-2187)
- Jakob Simeth (ORCID: https://orcid.org/0000-0002-7832-2582)
- Zahra Nozari
Institutions
- University Hospital Regensburg (DE)
- Universitätsmedizin Göttingen (DE)
- University of Regensburg (DE)
- University of Göttingen (DE)
Publication Details
- Journal
- Bioinformatics
- Published
- 2024-11-24
- DOI
- https://doi.org/10.1093/bioinformatics/btae709
- Citations
- 5
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 1.17
Funders
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung und Forschung