deepblue_collection_experiments_count: collection_experiments_count

In DeepBlueR: DeepBlueR

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

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

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

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