gsa-mouse: Gene Set Analysis, mouse dataset results
In stephaniehicks/benchmarkfdrData2019: Data and Benchmarking Results from Korthauer and Kimes et al. (2019)
Description
Arguments
Details
See Also
Examples
Description
Results for case study on gene set analysis using mouse dataset described in
Korthauer and Kimes et al. (2019). Analyses were performed using GSEA.
Arguments
metadata
logical whether to load metadata (TRUE) or full resource (FALSE).
(default = FALSE)
Details
Results for this case study include:
-
mouse-benchmark: using gene set size as covariate.
-
mouse-uninf-benchmark: using uninformative covariate.
See Also
Examples
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`mouse-benchmark`(metadata = TRUE)
## Not run:
`mouse-benchmark`()
`mouse-uninf-benchmark`()
## End(Not run)
stephaniehicks/benchmarkfdrData2019 documentation built on June 20, 2021, 10 a.m.
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Description Arguments Details See Also Examples
Description
Results for case study on gene set analysis using mouse dataset described in Korthauer and Kimes et al. (2019). Analyses were performed using GSEA.
Arguments
metadata |
logical whether to load metadata (TRUE) or full resource (FALSE). (default = FALSE) |
Details
Results for this case study include:
-
mouse-benchmark: using gene set size as covariate. -
mouse-uninf-benchmark: using uninformative covariate.
See Also
Examples
1 2 3 4 5 6 7 | `mouse-benchmark`(metadata = TRUE)
## Not run:
`mouse-benchmark`()
`mouse-uninf-benchmark`()
## End(Not run)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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