Missing cell types in single-cell references impact deconvolution of bulk data but are detectable
We expect our results to provide a starting point for those developing new deconvolution methods and help improve their to better account for the presence of missing cell types. Our results suggest that deconvolution methods should consider the possibility of missing cell types.
Authors
- Stephanie C. Hicks (ORCID: https://orcid.org/0000-0002-7858-0231)
- Casey S. Greene (ORCID: https://orcid.org/0000-0001-8713-9213)
- Laurie Grieshober (ORCID: https://orcid.org/0000-0003-2316-9143)
- Weishan Li (ORCID: https://orcid.org/0000-0002-7914-2700)
- Jennifer A. Doherty (ORCID: https://orcid.org/0000-0002-1454-8187)
- Natalie R. Davidson (ORCID: https://orcid.org/0000-0002-1745-8072)
- Adriana Ivich
Institutions
- Johns Hopkins University (US)
- University of Utah (US)
- Huntsman Cancer Institute (US)
- University of Colorado Anschutz Medical Campus (US)
Publication Details
- Journal
- Genome biology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1186/s13059-025-03506-9
- Citations
- 13
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 10.48
Funders
- National Cancer Institute