dataset.merging: Merging all individual esets and merging them into a big eset
In consensusOV: Gene expression-based subtype classification for high-grade serous ovarian cancer
Description
Usage
Arguments
Value
Description
Merging all individual esets and merging them into a big eset
Usage
1
2
3
dataset.merging(esets, method = c("union", "intersect"),
standardization = c("quantile", "robust.scaling", "scaling", "none"),
nthread = 1)
Arguments
esets
The list containing all GSE file that need to be merged.
method
either "unique" or "intersect" is use to for selecting geneid
standardization
choose between "quantile", "robust.scaling", "scaling"
or "none"
nthread
number of threads (1 by default)
Value
The merging eset
consensusOV documentation built on Nov. 8, 2020, 7:06 p.m.
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Description Usage Arguments Value
Description
Merging all individual esets and merging them into a big eset
Usage
1 2 3 | dataset.merging(esets, method = c("union", "intersect"),
standardization = c("quantile", "robust.scaling", "scaling", "none"),
nthread = 1)
|
Arguments
esets |
The list containing all GSE file that need to be merged. |
method |
either "unique" or "intersect" is use to for selecting geneid |
standardization |
choose between "quantile", "robust.scaling", "scaling" or "none" |
nthread |
number of threads (1 by default) |
Value
The merging eset
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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