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A statistical approach for identifying differential distributions in single-cell RNA-seq experiments
The ability to quantify cellular heterogeneity is a major advantage of single-cell technologies. However, statistical methods often treat cellular heterogeneity as a nuisance. We present a novel method to characterize differences in expression in the presence of distinct expression states within and...
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| Pubblicato in: | Genome Biol |
|---|---|
| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5080738/ https://ncbi.nlm.nih.gov/pubmed/27782827 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-016-1077-y |
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