deepblue_binning: binning
In MPIIComputationalEpigenetics/DeepBlue-R: DeepBlueR

Description Usage Arguments Value See Also Examples

Bin results according to counts.

1 2	deepblue_binning(query_data_id = NULL, column = NULL, bins = NULL, user_key = deepblue_options("user_key"))

`query_data_id`	- A string (query data that will made by the binning.)
`column`	- A string (name of the column that will be used in the aggregation)
`bins`	- A int (number of of bins)
`user_key`	- A string (users token key)

request_id - A string (Request ID - Use it to retrieve the result with info() and get_request_data())

Other Operating on the data regions: deepblue_aggregate, 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

experiment_id = deepblue_select_experiments(
    experiment_name="S00XDKH1.ERX712765.H3K27ac.bwa.GRCh38.20150527.bed")
deepblue_binning (query_data_id=experiment_id, 
    column="SIGNAL_VALUE",
    bins=40)