get_outl_cells: Find cell outliers in each cluster.
In brickyyyy/SC3min: Minimized Single-Cell Consensus Clustering
Description
Usage
Arguments
Value
Examples
Description
Outlier cells in each cluster are detected using robust distances, calculated
using the minimum covariance determinant (MCD), namely using
covMcd. The outlier score shows how
different a cell is from all other cells in the cluster and it is defined as
the differences between the square root of the robust distance and the square
root of the 99.99
Usage
1
get_outl_cells(dataset, labels)
Arguments
dataset
expression matrix
labels
cell labels corresponding to the columns of the expression matrix
Value
a numeric vector containing the cell labels and
correspoding outlier scores ordered by the labels
Examples
1
2
d <- get_outl_cells(yan[1:10,], as.numeric(ann[,1]))
head(d)
brickyyyy/SC3min documentation built on May 8, 2019, 8:07 a.m.
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Description Usage Arguments Value Examples
Description
Outlier cells in each cluster are detected using robust distances, calculated
using the minimum covariance determinant (MCD), namely using
covMcd. The outlier score shows how
different a cell is from all other cells in the cluster and it is defined as
the differences between the square root of the robust distance and the square
root of the 99.99
Usage
1 | get_outl_cells(dataset, labels)
|
Arguments
dataset |
expression matrix |
labels |
cell labels corresponding to the columns of the expression matrix |
Value
a numeric vector containing the cell labels and correspoding outlier scores ordered by the labels
Examples
1 2 | d <- get_outl_cells(yan[1:10,], as.numeric(ann[,1]))
head(d)
|
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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