deepblue_collection_experiments_count: collection_experiments_count

Description Usage Arguments Value See Also Examples

Description

Count the number of experiments that match the selection criteria in each term of the selected controlled_vocabulary. The selection can be achieved through specifying a list of BioSources, experimental Techniques, Epigenetic Marks, Samples or Projects.

Usage

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

Arguments

controlled_vocabulary

- A string (controlled vocabulary name)

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

terms - A array (controlled_vocabulary terms with count)

See Also

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

Examples

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deepblue_collection_experiments_count(
	controlled_vocabulary="epigenetic_marks",
    genome = "hg19", type = "peaks",
    biosource = "blood")

MPIIComputationalEpigenetics/DeepBlueR documentation built on May 8, 2019, 3:19 p.m.