dot-filterKnn: .filterKnn
In CellMixS: Evaluate Cellspecific Mixing
Description
Usage
Arguments
Value
See Also
Description
.filterKnn
Usage
1
.filterKnn(knn_cell, batch_min, group, sce)
Arguments
knn_cell
Data frame with one column "distance" and one column named
by the group variable. Rows correspond to the knn cells and do not need
rownames.
batch_min
Numeric. Minimum number of cells per batch to include.
group
Character. Name of group/batch variable.
Needs to be one of names(knn).
sce
A SingleCellExperiment object with the combined data.
Value
data.frame with two columns (index, distance) for filtered knn cells.
See Also
Other helper functions:
.cmsCell(),
.defineSubspace(),
.filterLocMin(),
.ldfKnn(),
.smoothCms()
CellMixS documentation built on Dec. 19, 2020, 2 a.m.
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Description Usage Arguments Value See Also
Description
.filterKnn
Usage
1 | .filterKnn(knn_cell, batch_min, group, sce)
|
Arguments
knn_cell |
Data frame with one column "distance" and one column named by the group variable. Rows correspond to the knn cells and do not need rownames. |
batch_min |
Numeric. Minimum number of cells per batch to include. |
group |
Character. Name of group/batch variable.
Needs to be one of |
sce |
A |
Value
data.frame with two columns (index, distance) for filtered knn cells.
See Also
Other helper functions:
.cmsCell(),
.defineSubspace(),
.filterLocMin(),
.ldfKnn(),
.smoothCms()
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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