Identifying cell states in single-cell RNA-seq data at statistically maximal resolution.
Single-cell RNA sequencing (scRNA-seq) has become a popular experimental method to study variation of gene expression within a population of cells. However, obtaining an accurate picture of the diversity of distinct gene expression states that are present in a given dataset is highly challenging bec...
| Published in: | PLoS Computational Biology |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-07-01
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| Online Access: | https://doi.org/10.1371/journal.pcbi.1012224 |