tSNE-class {CytobankAPI} | R Documentation |
S4 tSNE Class
Description
A tSNE object that holds pertinent tSNE advanced analysis run information. This class should never be called explicitly. If a user would like to create a new Cytobank Dimensionality Reduction object, utilize the dimensionality_reduction.new function, or any other Dimensionality Reduction endpoints that return Dimensionality Reduction objects documented in the 'Details' section.
Value
A Dimensionality Reduction advanced analysis object
Slots
iterations
numeric representing the number of times Dimensionality Reduction processes the dataset using its step-wise optimization algorithm, learn more about how iterations affect Dimensionality Reduction results
perplexity
numeric representing a rough guess for the number of close neighbors any given cellular event will have, learn more about Dimensionality Reduction perplexity
auto_iterations
logical representing whether or not to set auto interations
auto_learning_rate
logical representing whether or not to set auto learning rate
clustering_channels
list the channels selected for the Dimensionality Reduction analysis, this can be either a list of short channel IDs (integer) OR long channel names (character)
desired_events_per_file
numeric representing the number of desired events per file
desired_total_events
numeric representing the number of desired total events per file
early_exaggeration
numeric representing how tight natural clusters in the original space are in the embedded space and how much space will be between them
event_sampling_method
character representing the name of event sampling method will be used, learn more about Event Sampling for Dimensionality Reduction analysis
fcsfile_ids
list representing the fcs file ids
gateset_id
numeric representing the selected gate id
learning_rate
numeric representing the learning rate
normalize_scales
logical representing whether or not to normalize scales