celdaTsne: Embeds cells in two dimensions using tSNE based on celda_CG...
In compbiomed/celda: CEllular Latent Dirichlet Allocation
Description
Usage
Arguments
Value
Examples
Description
Embeds cells in two dimensions using tSNE based on celda_CG results.
Usage
1
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 model. Options available in 'celda::available.models'.
...
Additional parameters.
Value
Numeric Matrix of dimension ‘ncol(counts)' x 2, colums representing the "X" and "Y" coordinates in the data’s t-SNE represetation.
Examples
1
tsne.res = celdaTsne(celda.CG.sim$counts, celda.CG.mod)
compbiomed/celda documentation built on May 25, 2019, 3:58 a.m.
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Description Usage Arguments Value Examples
Description
Embeds cells in two dimensions using tSNE based on celda_CG results.
Usage
1 |
Arguments
counts |
Integer matrix. Rows represent features and columns represent cells. This matrix should be the same as the one used to generate 'celda.mod'. |
celda.mod |
Celda model. Options available in 'celda::available.models'. |
... |
Additional parameters. |
Value
Numeric Matrix of dimension ‘ncol(counts)' x 2, colums representing the "X" and "Y" coordinates in the data’s t-SNE represetation.
Examples
1 | tsne.res = celdaTsne(celda.CG.sim$counts, celda.CG.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.
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