deepblue_faceting_experiments {DeepBlueR} | R Documentation

## faceting_experiments

### 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")

[Package DeepBlueR version 1.8.1 Index]