QuantNormalizeElements: Takes a list of tibbles as input, and performs per-column...
In Sconify: A toolkit for performing KNN-based statistics for flow and mass cytometry data
Description
Usage
Arguments
Value
Examples
Description
This function performs per-marker quantile normalization
on multiple data tibbles. The normalization occurrs marker by marker.
The user assumes that the markers are distributed equally across tibbles,
as quantile normalization forces these marker distributions to be the same
per file
Usage
1
QuantNormalizeElements(dat.list)
Arguments
dat.list
a list of tibbles
Value
the per-column quantile normalized list
Examples
1
2
3
basal <- wand.combined[wand.combined$condition == "basal",][,1:10]
il7 <- wand.combined[wand.combined$condition == "IL7",][,1:10]
QuantNormalizeElements(list(basal, il7))
Sconify documentation built on Nov. 8, 2020, 6:45 p.m.
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Description Usage Arguments Value Examples
Description
This function performs per-marker quantile normalization on multiple data tibbles. The normalization occurrs marker by marker. The user assumes that the markers are distributed equally across tibbles, as quantile normalization forces these marker distributions to be the same per file
Usage
1 | QuantNormalizeElements(dat.list)
|
Arguments
dat.list |
a list of tibbles |
Value
the per-column quantile normalized list
Examples
1 2 3 | basal <- wand.combined[wand.combined$condition == "basal",][,1:10]
il7 <- wand.combined[wand.combined$condition == "IL7",][,1:10]
QuantNormalizeElements(list(basal, il7))
|
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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