cluster_consistency: Cluster the consistency matrix
In kieranrcampbell/bnlfa: Interpretable marker-based single-cell pseudotime using Bayesian parametric models
Description
Usage
Arguments
Value
See Also
Examples
Description
Clusters the consistency matrix, using Gaussian Mixture Modelling
on its first principal component. The number of clusters is chosen
such that the BIC is maximise
Usage
1
cluster_consistency(cmat, n_clusters = 2:9)
Arguments
cmat
A consistency matrix returned by consistency_matrix
n_clusters
The number of clusters for which to calculate the BIC
Value
A numeric vector indicating to which cluster each cell has been assigned
See Also
consistency_matrix
Examples
1
2
3
data(oui)
cmat <- consistency_matrix(oui)
clusters <- cluster_consistency(cmat)
kieranrcampbell/bnlfa documentation built on Dec. 2, 2019, 12:44 p.m.
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Description Usage Arguments Value See Also Examples
Description
Clusters the consistency matrix, using Gaussian Mixture Modelling on its first principal component. The number of clusters is chosen such that the BIC is maximise
Usage
1 | cluster_consistency(cmat, n_clusters = 2:9)
|
Arguments
cmat |
A consistency matrix returned by |
n_clusters |
The number of clusters for which to calculate the BIC |
Value
A numeric vector indicating to which cluster each cell has been assigned
See Also
consistency_matrix
Examples
1 2 3 | data(oui)
cmat <- consistency_matrix(oui)
clusters <- cluster_consistency(cmat)
|
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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