Discovery of optimal cell type classification marker genes from single cell RNA sequencing data
Finally, we discuss potential use cases of the NS-Forest marker genes, including for designing spatial transcriptomics gene panels and semantic representation of cell types in biomedical ontologies, for the broad user community.
Authors
- Gloria Pryhuber (ORCID: https://orcid.org/0000-0002-9185-3994)
- Ajith V. Pankajam (ORCID: https://orcid.org/0000-0003-2436-9657)
- Angela Liu (ORCID: https://orcid.org/0000-0001-7902-538X)
- Richard H. Scheuermann (ORCID: https://orcid.org/0000-0003-1355-892X)
- Thu Elizabeth Duong (ORCID: https://orcid.org/0000-0001-7122-4448)
- Yun Zhang (ORCID: https://orcid.org/0000-0003-2707-5881)
- Beverly Peng
Institutions
- National Institutes of Health (US)
- J. Craig Venter Institute (US)
- United States National Library of Medicine (US)
- University of Rochester Medical Center (US)
- University of California San Diego (US)
Publication Details
- Journal
- BMC Methods
- Published
- 2024-11-03
- DOI
- https://doi.org/10.1186/s44330-024-00015-2
- Citations
- 8
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 1.87
Funders
- National Institutes of Health
- U.S. National Library of Medicine