dot-get_x_most_specific_genes: Find x most specific genes
In combiz/scFlow: A Single-Cell/Nuclei Analysis Toolkit
.get_x_most_specific_genes R Documentation
Find x most specific genes
Description
Find x most specific genes
Usage
.get_x_most_specific_genes(
ct,
annotLevel = 5,
howMany = 20,
ctd,
exprPercentile = 0.9
)
Arguments
ct
from colnames of ctdToMap specificity
howMany
number of genes to return
ctd
the ctd to analyse
exprPercentile
must be expressed in at least this proportion
annot_level
annotation level
Value
output the x most specific genes
Author(s)
Nathan Skene / Combiz Khozoie
See Also
Other clustering and dimensionality reduction:
.map_celltypes(),
.map_celltypes_with_ewce(),
cluster_sce(),
map_custom_celltypes(),
reduce_dims_sce()
combiz/scFlow documentation built on Feb. 25, 2024, 10:25 a.m.
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| .get_x_most_specific_genes | R Documentation |
Find x most specific genes
Description
Find x most specific genes
Usage
.get_x_most_specific_genes(
ct,
annotLevel = 5,
howMany = 20,
ctd,
exprPercentile = 0.9
)
Arguments
ct |
from colnames of ctdToMap specificity |
howMany |
number of genes to return |
ctd |
the ctd to analyse |
exprPercentile |
must be expressed in at least this proportion |
annot_level |
annotation level |
Value
output the x most specific genes
Author(s)
Nathan Skene / Combiz Khozoie
See Also
Other clustering and dimensionality reduction:
.map_celltypes(),
.map_celltypes_with_ewce(),
cluster_sce(),
map_custom_celltypes(),
reduce_dims_sce()
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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