AdjScoreClustersCODEX: Use the Adjacency Score to evaluate colocaliztion of all...
In CamaraLab/STvEA: Spatially-resolved Transcriptomics via Epitope Anchoring
View source: R/feature_scores.R
AdjScoreClustersCODEX R Documentation
Use the Adjacency Score to evaluate colocaliztion of all pairs
of CODEX clusters in CODEX spatial dimensions.
Calls Adjacency Score with c=0 to use hypergeometric null distribution
speed up for mutually exclusive binary features.
Description
Use the Adjacency Score to evaluate colocaliztion of all pairs
of CODEX clusters in CODEX spatial dimensions.
Calls Adjacency Score with c=0 to use hypergeometric null distribution
speed up for mutually exclusive binary features.
Usage
AdjScoreClustersCODEX(stvea_object, k, num_cores = 1)
Arguments
stvea_object
STvEA.data class object containing CODEX
cluster assignments and CODEX spatial coordinates
k
number of nearest neighbors to create graph
from CODEX spatial information
num_cores
integer specifying the number of cores to be used
in the computation. By default only one core is used.
On Windows, this must be set to 1.
CamaraLab/STvEA documentation built on April 2, 2024, 6:07 a.m.
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View source: R/feature_scores.R
| AdjScoreClustersCODEX | R Documentation |
Use the Adjacency Score to evaluate colocaliztion of all pairs of CODEX clusters in CODEX spatial dimensions. Calls Adjacency Score with c=0 to use hypergeometric null distribution speed up for mutually exclusive binary features.
Description
Use the Adjacency Score to evaluate colocaliztion of all pairs of CODEX clusters in CODEX spatial dimensions. Calls Adjacency Score with c=0 to use hypergeometric null distribution speed up for mutually exclusive binary features.
Usage
AdjScoreClustersCODEX(stvea_object, k, num_cores = 1)
Arguments
stvea_object |
STvEA.data class object containing CODEX cluster assignments and CODEX spatial coordinates |
k |
number of nearest neighbors to create graph from CODEX spatial information |
num_cores |
integer specifying the number of cores to be used in the computation. By default only one core is used. On Windows, this must be set to 1. |
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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