| CITRUS-class | R Documentation |
A CITRUS object that holds pertinent CITRUS advanced analysis run information, learn more about CITRUS. This class should never be called explicitly. If a user would like to create a new Cytobank CITRUS object, utilize the citrus.new function, or any other CITRUS endpoints that return CITRUS objects documented in the 'Details' section.
A CITRUS advanced analysis object
associated_modelslist representing statistical methods used to discover stratifying signatures from clustered data features that explain differences between sample groups, learn more about CITRUS association models
- choose from the following : ("sam", "pamr" [default], "glmnet")
attachment_idnumeric representing the CITRUS attachment ID
cross_validation_foldsnumeric representing the regulation threshold, controlling the number of features in the model (only applies to PAM, LASSO), learn more about CITRUS cross validation folds
citrus_idnumeric representing the CITRUS analysis ID
cluster_characterizationcharacter representing the principle for analyzing and quantifying individual samples, learn more about CITRUS cluster characterization
- choose one of the following : ("abundance" [default], "medians")
event_sampling_methodcharacter representing the sampling method, learn more about CITRUS event sampling methods
- choose one of the following : ("equal" [default], "max-per-file")
events_per_filenumeric representing the number of events taken from each sample
false_discovery_ratenumeric representing the false discovery rate (only applies to PAM, SAM), learn more about CITRUS false discovery rate
file_groupingnumeric dataframe representing which group samples belong to, learn more about CITRUS file grouping, the core functionality of CITRUS
minimum_cluster_sizenumeric representing the number of nodes, learn more about CITRUS minimum cluster size
normalize_scaleslogical representing whether or not to normalize channels, learn more about normalizing CITRUS scales
plot_themecharacter representing the background color of images and figures within the CITRUS results
- choose one of the following : ("white" [default], "black")
population_iddataframe representing a population gate set ID
statistics_channelslist representing the statistics channels used for the 'median' cluster characterization, these channels should not be selected for clustering
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