deepblue_count_gene_ontology_terms: count_gene_ontology_terms
In DeepBlueR: DeepBlueR

Description Usage Arguments Value See Also Examples

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.

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deepblue_count_gene_ontology_terms(genes = NULL, go_terms = NULL,
  chromosome = NULL, start = NULL, end = NULL, gene_model = NULL,
  user_key = deepblue_options("user_key"))

`genes`	- A string or a vector of string (Name(s) or ENSEMBL ID (ENSGXXXXXXXXXXX.X ) of the gene(s).)
`go_terms`	- A string or a vector of string (gene ontology terms - ID or label)
`chromosome`	- A string or a vector of string (chromosome name(s))
`start`	- A int (minimum start region)
`end`	- A int (maximum end region)
`gene_model`	- A string (the gene model)
`user_key`	- A string (users token key)

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

Other Gene models and genes identifiers: deepblue_list_gene_models, deepblue_list_genes, deepblue_select_genes

1 2	gene_names = c('CCR1', 'CD164', 'CD1D', 'CD2', 'CD34', 'CD3G', 'CD44') deepblue_count_gene_ontology_terms (genes = gene_names, gene_model = "gencode v23")