plotMatUMAP: Plot UMAP of data matrix
In jsemple19/EMclassifieR: Classify DSMF data using the Expectation Maximisation algorithm
plotMatUMAP R Documentation
Plot UMAP of data matrix
Description
Plot Uniform Manifold Approximation and Projection (UMAP) of the reads and
colour by class. If matrix contains more than 2000 reads, the reads will
be randomly subsampled to a maximum of 2000 in order to speed up projection.
Usage
plotMatUMAP(dataMatrix, classes, rescale = T)
Arguments
dataMatrix
Matrix for UMAP dimentionality reduction
classes
Vector of classifications for all the rows
rescale
Rescale matrix with 0-1 values to -1 to 1 values where -1 is
no methylation, NAs are 0 and 1 is methylation at that position.
Value
umap plots with different distance metrics
jsemple19/EMclassifieR documentation built on Aug. 12, 2022, 2:57 p.m.
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| plotMatUMAP | R Documentation |
Plot UMAP of data matrix
Description
Plot Uniform Manifold Approximation and Projection (UMAP) of the reads and colour by class. If matrix contains more than 2000 reads, the reads will be randomly subsampled to a maximum of 2000 in order to speed up projection.
Usage
plotMatUMAP(dataMatrix, classes, rescale = T)
Arguments
dataMatrix |
Matrix for UMAP dimentionality reduction |
classes |
Vector of classifications for all the rows |
rescale |
Rescale matrix with 0-1 values to -1 to 1 values where -1 is no methylation, NAs are 0 and 1 is methylation at that position. |
Value
umap plots with different distance metrics
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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