deepblue_faceting_experiments: faceting_experiments

In DeepBlueR: DeepBlueR

Description

Summarize the controlled_vocabulary fields, from experiments that match the selection criteria. It is similar to the 'collection_experiments_count' command, but this command return the summarization for all controlled_vocabulary terms.

Usage

deepblue_faceting_experiments(genome = NULL, type = NULL,
  epigenetic_mark = NULL, biosource = NULL, sample = NULL,
  technique = NULL, project = NULL,
  user_key = deepblue_options("user_key"))

Arguments

genome	- A string or a vector of string (the target genome)
type	- A string or a vector of string (type of the experiment: peaks or signal)
epigenetic_mark	- A string or a vector of string (name(s) of selected epigenetic mark(s))
biosource	- A string or a vector of string (name(s) of selected biosource(s))
sample	- A string or a vector of string (id(s) of selected sample(s))
technique	- A string or a vector of string (name(s) of selected technique(s))
project	- A string or a vector of string (name(s) of selected projects)
user_key	- A string (users token key)

Value

faceting - A struct (Map with the mandatory fields of the experiments metadata, where each contains a list of terms that appears.)

See Also

Other Inserting and listing experiments: deepblue_collection_experiments_count, deepblue_list_experiments, deepblue_list_recent_experiments, deepblue_list_similar_experiments, deepblue_preview_experiment

Examples

deepblue_faceting_experiments(genome = "hg19",
    type = "peaks",
    biosource = "blood")

DeepBlueR documentation built on Nov. 8, 2020, 6:25 p.m.