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This function is used to compute the t-Distributed Stochastic Neighbor Embedding (t-SNE).
comptSNE( object, rseed = NULL, max_iter = 5000, epoch = 500, quiet = FALSE, ... )# S4 method for DISCBIO comptSNE( object, rseed = NULL, max_iter = 5000, epoch = 500, quiet = FALSE, ... )
# S4 method for DISCBIO comptSNE( object, rseed = NULL, max_iter = 5000, epoch = 500, quiet = FALSE, ... )
DISCBIO class object.
DISCBIO
Random integer to to yield reproducible maps across different runs
maximum number of iterations to perform.
The number of iterations in between update messages.
if `TRUE`, suppresses intermediate output
other parameters to be passed to `tsne::tsne`
The DISCBIO-class object input with the tsne slot filled.
# NOT RUN { sc <- DISCBIO(valuesG1msTest) # changes signature of data sc <- Clustexp(sc, cln=2) # data must be clustered before plottin sc <- comptSNE(sc, max_iter=30) head(sc@tsne) # }
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