Bayesian approach to single-cell differential expression analysis
Single-cell data provides means to dissect the composition of complex tissues and specialized cellular environments. However, the analysis of such measurements is complicated by high levels of technical noise and intrinsic biological variability. We describe a probabilistic model of expression magni...
| Main Authors: | , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
2014
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4112276/ |