A Bayesian nonparametric method for jointly clustering multiple spatial transcriptomic datasets and simultaneous gene selection
Abstract In spatial transcriptomics, many algorithms are available for clustering cells into groups based on gene expression and location, although not without limitations. Such limitations include having to know the number of clusters, limiting inference to only one donor, and being unable to ident...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-11693-5 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|