AddTsne: Add tSNE to your results.
In Sconify: A toolkit for performing KNN-based statistics for flow and mass cytometry data
Description
Usage
Arguments
Value
View source: R/post.processing.R
Description
This function gives the user the option to add t-SNE to the
final output, using the same input features used in KNN, eg. surface
markers, as input for t-SNE.
Usage
1
AddTsne(dat, input)
Arguments
dat
matrix of cells by features, that contain all features needed
for tSNE analysis
input
the features to be used as input for tSNE,usually the same
for knn generation
Value
result: dat, with tSNE1 and tSNE2 attached
Sconify documentation built on Nov. 8, 2020, 6:45 p.m.
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Description Usage Arguments Value
View source: R/post.processing.R
Description
This function gives the user the option to add t-SNE to the final output, using the same input features used in KNN, eg. surface markers, as input for t-SNE.
Usage
1 | AddTsne(dat, input)
|
Arguments
dat |
matrix of cells by features, that contain all features needed for tSNE analysis |
input |
the features to be used as input for tSNE,usually the same for knn generation |
Value
result: dat, with tSNE1 and tSNE2 attached
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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