Journal
NATURE METHODS
Volume 13, Issue 3, Pages 241-+Publisher
NATURE PORTFOLIO
DOI: 10.1038/NMETH.3734
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Funding
- Ellison Medical Foundation award
- US National Science Foundation (NSF) CAREER award [NSF-14-532]
- NSF graduate research fellowship [DGE1144152]
- US National Institutes of Health (NIH) [U01 MH098977, NIH R01 NS084398]
- NIH [T32 AG00216]
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The transcriptional state of a cell reflects a variety of biological factors, from cell-type-specific features to transient processes such as the cell cycle, all of which may be of interest. However, identifying such aspects from noisy single-cell RNA-seq data remains challenging. We developed pathway and gene set overdispersion analysis (PAGODA) to resolve multiple, potentially overlapping aspects of transcriptional heterogeneity by testing gene sets for coordinated variability among measured cells.
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