calc_var_features: Calculate variable features
In hesselberthlab/scrunchy: Single Cell Reconstruction of Functional Heterogeneity
Description
Usage
Arguments
Value
Examples
Description
Identify features with the highest variance in the data set.
Usage
1
calc_var_features(fsce, expt = "rnaseq", n = 1000)
Arguments
fsce
FunctionalSingleCellExperiment
expt
Data to use for calculating variable features
(default is rnaseq). Must be present in names(fsce).
n
number of variable features to return
Value
Names of variable features
Examples
1
2
3
calc_var_features(fsce_small)[1:5]
calc_var_features(fsce_small, expt = "haircut")[1:5]
hesselberthlab/scrunchy documentation built on Nov. 11, 2019, 2:29 p.m.
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Description Usage Arguments Value Examples
Description
Identify features with the highest variance in the data set.
Usage
1 | calc_var_features(fsce, expt = "rnaseq", n = 1000)
|
Arguments
fsce |
|
expt |
Data to use for calculating variable features
(default is |
n |
number of variable features to return |
Value
Names of variable features
Examples
1 2 3 | calc_var_features(fsce_small)[1:5]
calc_var_features(fsce_small, expt = "haircut")[1:5]
|
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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