dataset.merging: Merging all individual esets and merging them into a big eset
In bhklab/consensusOV: Gene expression-based subtype classification for high-grade serous ovarian cancer
dataset.merging R Documentation
Merging all individual esets and merging them into a big eset
Description
Merging all individual esets and merging them into a big eset
Usage
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
bhklab/consensusOV documentation built on Feb. 13, 2024, 4:50 a.m.
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| dataset.merging | R Documentation |
Merging all individual esets and merging them into a big eset
Description
Merging all individual esets and merging them into a big eset
Usage
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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