A balanced measure shows superior performance of pseudobulk methods in single-cell RNA-sequencing analysis
Alan E Murphy, Nathan Skene
Abstract
Recently, Zimmerman et al. Their work proved the inadequacy of pseudoreplication approaches for such analysis-this was an important step forward that was conclusively proven by them. However, there appear to be limitations in both their benchmarking and simulation approaches. Here, we corrected these issues, reran the author's analysis and found that pseudobulk methods outperformed mixed models. Based on these findings, we recommend the use of pseudobulk approaches for differential expression in single-cell RNA-sequencing analyses.
Topics & Concepts
Measure (data warehouse)Single-cell analysisRNAComputational biologyComputer scienceBiologyCellGeneticsGeneData miningSingle-cell and spatial transcriptomicsCancer-related molecular mechanisms researchExtracellular vesicles in disease