clusterProbability.celda_G: Conditional probabilities for features in modules from a...
In compbiomed/celda: CEllular Latent Dirichlet Allocation
Description
Usage
Arguments
Value
See Also
Examples
Description
Calculates the conditional probability of each feature belonging to each module given all other feature cluster assignments in a 'celda_G()' result.
Usage
1
2
## S3 method for class 'celda_G'
clusterProbability(counts, celda.mod, log = FALSE, ...)
Arguments
counts
Integer matrix. Rows represent features and columns represent cells. This matrix should be the same as the one used to generate 'celda.mod'.
celda.mod
Celda object of class 'celda_G'.
log
Logical. If FALSE, then the normalized conditional probabilities will be returned. If TRUE, then the unnormalized log probabilities will be returned. Default FALSE.
...
Additional parameters.
Value
A list containging a matrix for the conditional cell cluster probabilities.
See Also
'celda_G()' for clustering features
Examples
1
cluster.prob = clusterProbability(celda.G.sim$counts, celda.G.mod)
compbiomed/celda documentation built on May 25, 2019, 3:58 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value See Also Examples
Description
Calculates the conditional probability of each feature belonging to each module given all other feature cluster assignments in a 'celda_G()' result.
Usage
1 2 | ## S3 method for class 'celda_G'
clusterProbability(counts, celda.mod, log = FALSE, ...)
|
Arguments
counts |
Integer matrix. Rows represent features and columns represent cells. This matrix should be the same as the one used to generate 'celda.mod'. |
celda.mod |
Celda object of class 'celda_G'. |
log |
Logical. If FALSE, then the normalized conditional probabilities will be returned. If TRUE, then the unnormalized log probabilities will be returned. Default FALSE. |
... |
Additional parameters. |
Value
A list containging a matrix for the conditional cell cluster probabilities.
See Also
'celda_G()' for clustering features
Examples
1 | cluster.prob = clusterProbability(celda.G.sim$counts, celda.G.mod)
|
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.