Systematic evaluation of the isolated effect of tissue environment on the transcriptome using a single-cell RNA-seq atlas dataset
COSER provides a robust, general-purpose framework for evaluating the isolated effects of discrete variables from large-scale data mining. This approach reveals critical insights into the interplay between tissue environments and gene expression.
Authors
- Jianshen Zhu (ORCID: https://orcid.org/0000-0002-1287-9572)
- Kazuya Haraguchi (ORCID: https://orcid.org/0000-0001-9089-6768)
- Daigo Okada (ORCID: https://orcid.org/0000-0002-9725-6373)
- Kan Shota
- Yuuki Nishimura
Institutions
- Kyoto University (JP)
Publication Details
- Journal
- BMC Genomics
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1186/s12864-025-11614-w
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Forskningsrådet om Hälsa, Arbetsliv och Välfärd