scrnaseq-mouse | R Documentation |
Results for case study on single-cell RNA-seq differential expression analysis using data from mouse cells at NF-kappa-beta activation as described in Korthauer and Kimes et al. (2019). Differential expression was testing using either the MAST package, scDD package, or Wilcoxon rank-sum test.
metadata |
logical whether to load metadata (TRUE) or full resource (FALSE). (default = FALSE) |
Results for this case study include:
mouse-benchmark-mast-det
: testing with MAST, using detection rate as covariate.
mouse-benchmark-mast-mean
: testing with MAST, using mean counts as covariate.
mouse-benchmark-mast-uninf
: testing with MAST, using uninformative covariate.
mouse-benchmark-scdd-det
: testing with scDD, using detection rate as covariate.
mouse-benchmark-scdd-mean
: testing with scDD, using mean counts as covariate.
mouse-benchmark-scdd-uninf
: testing with scDD, using uninformative covariate.
mouse-benchmark-wilcox-det
: testing with Wilcoxon rank-sum, using detection rate as covariate.
mouse-benchmark-wilcox-mean
: testing with Wilcoxon rank-sum, using mean counts as covariate.
mouse-benchmark-wilcox-uninf
: testing with Wilcoxon rank-sum, using uninformative covariate.
scrnaseq-human
`mouse-benchmark-mast-det`(metadata = TRUE)
## Not run:
`mouse-benchmark-mast-det`()
`mouse-benchmark-mast-mean`()
`mouse-benchmark-mast-uninf`()
`mouse-benchmark-scdd-det`()
`mouse-benchmark-scdd-mean`()
`mouse-benchmark-scdd-uninf`()
`mouse-benchmark-wilcox-det`()
`mouse-benchmark-wilcox-mean`()
`mouse-benchmark-wilcox-uninf`()
## End(Not run)
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