deepblue_faceting_experiments: faceting_experiments

Description Usage Arguments Value See Also Examples

View source: R/deepblue.R

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

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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

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

MPIIComputationalEpigenetics/DeepBlueR documentation built on Aug. 11, 2021, 4:12 p.m.