SubsampleAndTsne: Subsample data and run tSNE
In tjburns08/Sconify: A toolkit for performing KNN-based statistics for flow and mass cytometry data
Description
Usage
Arguments
Value
Examples
Description
A wrapper for Rtsne that takes final SCONE output, and runs
tSNE on it after subsampling. This is specifically for SCONE runs that
contain large numbers of cells that tSNE would either be too time-consuming
or messy for. Regarding the latter, tSNE typically appears less clean
in the range of 10^5 cells
Usage
1
SubsampleAndTsne(dat, input, numcells)
Arguments
dat
tibble of original input data, and scone-based additions.
input
the markers used in the original knn computation, which are
typically surface markers
numcells
the number of cells to be downsampled to
Value
a subsampled tibble that contains tSNE values
Examples
1
tjburns08/Sconify documentation built on May 31, 2019, 8:56 a.m.
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Description Usage Arguments Value Examples
Description
A wrapper for Rtsne that takes final SCONE output, and runs tSNE on it after subsampling. This is specifically for SCONE runs that contain large numbers of cells that tSNE would either be too time-consuming or messy for. Regarding the latter, tSNE typically appears less clean in the range of 10^5 cells
Usage
1 | SubsampleAndTsne(dat, input, numcells)
|
Arguments
dat |
tibble of original input data, and scone-based additions. |
input |
the markers used in the original knn computation, which are typically surface markers |
numcells |
the number of cells to be downsampled to |
Value
a subsampled tibble that contains tSNE values
Examples
1 |
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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