computeNetSimilarity: Compute signaling network similarity for any pair of...
In sqjin/CellChat: Inference and analysis of cell-cell communication from single-cell and spatial transcriptomics data
computeNetSimilarity R Documentation
Compute signaling network similarity for any pair of signaling networks
Description
Compute signaling network similarity for any pair of signaling networks
Usage
computeNetSimilarity(
object,
slot.name = "netP",
type = c("functional", "structural"),
k = NULL,
thresh = NULL
)
Arguments
object
CellChat object
slot.name
the slot name of object that is used to compute centrality measures of signaling networks
type
"functional","structural"
k
the number of nearest neighbors
thresh
the fraction (0 to 0.25) of interactions to be trimmed before computing network similarity
sqjin/CellChat documentation built on Nov. 10, 2023, 4:29 a.m.
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.
| computeNetSimilarity | R Documentation |
Compute signaling network similarity for any pair of signaling networks
Description
Compute signaling network similarity for any pair of signaling networks
Usage
computeNetSimilarity(
object,
slot.name = "netP",
type = c("functional", "structural"),
k = NULL,
thresh = NULL
)
Arguments
object |
CellChat object |
slot.name |
the slot name of object that is used to compute centrality measures of signaling networks |
type |
"functional","structural" |
k |
the number of nearest neighbors |
thresh |
the fraction (0 to 0.25) of interactions to be trimmed before computing network similarity |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.