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Official repository of "Why do cell-level test methods for detecting differentially expressed genes fail in single-cell RNA-seq data?" (Lee and Han, 2023)

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Repository of Lee and Han (2023)

Summary

Lee and Han (2023) underscores the importance of study design in single-cell differential gene expression (DGE) analysis. We show that the true variance of DGE tests depends on the study design but the test may not accurately estimate the true variance. As a result, both type 1 and 2 errors may increase.

Folder description

  1. nullpower contains the codes used in the main simulation analysis. The .rds files of the datasets used in the analysis can be obtained from
  2. perturb contains the codes for the perturbation dataset analysis. The .rds files of the datasets used in the analysis can be obtained from

The folder also contains two .rds files (schdmit.result.rds and kang.result.rds) storing the result of the analysis.

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Official repository of "Why do cell-level test methods for detecting differentially expressed genes fail in single-cell RNA-seq data?" (Lee and Han, 2023)

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