cytosee_reduce_dim: Reduce dimension of high dimension FCS data
In poipou/cytosee: automatic computation and evaluation of cytometry data
Description
We apply dimension reduction to those matrix which has more than paramenters
t-SNE,largeVis and SOM was used
Usage
1
2
cytosee_reduce_dim(data, n_core = NULL, sgd_batches = 0.5,
tsne_pca = TRUE, method = "PCA")
Arguments
n_core
how many cores you want to use
sgd_batches
input parameter for largeVis (refer largeVis for details)
tsne_pca
whether use pca in tsne
object
cytosee object
poipou/cytosee documentation built on May 28, 2019, 4:39 p.m.
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Description
We apply dimension reduction to those matrix which has more than paramenters
t-SNE,largeVis and SOM was used
Usage
1 2 | cytosee_reduce_dim(data, n_core = NULL, sgd_batches = 0.5,
tsne_pca = TRUE, method = "PCA")
|
Arguments
n_core |
how many cores you want to use |
sgd_batches |
input parameter for largeVis (refer largeVis for details) |
tsne_pca |
whether use pca in tsne |
object |
cytosee object |
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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