deepblue_aggregate {DeepBlueR} | R Documentation |
Summarize the data_id content using the regions specified in ranges_id as boundaries. Use the fields @AGG.MIN, @AGG.MAX, @AGG.SUM, @AGG.MEDIAN, @AGG.MEAN, @AGG.VAR, @AGG.SD, @AGG.COUNT in 'get_regions' command 'format' parameter to retrieve the computed values minimum, maximum, median, mean, variance, standard deviation and number of regions, respectively.
deepblue_aggregate(data_id = NULL, ranges_id = NULL, column = NULL, user_key = deepblue_options("user_key"))
data_id |
- A string (id of the query with the data) |
ranges_id |
- A string (id of the query with the regions range) |
column |
- A string (name of the column that will be used in the aggregation) |
user_key |
- A string (users token key) |
regions - A string (query id of this aggregation operation)
Other Operating on the data regions: deepblue_binning
,
deepblue_count_regions
,
deepblue_coverage
,
deepblue_distinct_column_values
,
deepblue_extend
,
deepblue_filter_regions
,
deepblue_flank
,
deepblue_get_experiments_by_query
,
deepblue_get_regions
,
deepblue_input_regions
,
deepblue_intersection
,
deepblue_merge_queries
,
deepblue_overlap
,
deepblue_query_cache
,
deepblue_query_experiment_type
,
deepblue_score_matrix
,
deepblue_select_annotations
,
deepblue_select_experiments
,
deepblue_select_regions
,
deepblue_tiling_regions
annotation_id = deepblue_select_annotations( annotation_name="CpG Islands", genome="hg19", chromosome="chr1") data_id = deepblue_select_experiments( experiment_name="E002-H3K9ac.narrowPeak.bed") deepblue_aggregate( data_id = data_id, ranges_id=annotation_id, column = "SCORE")