deepblue_score_matrix {DeepBlueR} | R Documentation |
Build a matrix containing the aggregation result of the the experiments data by the aggregation boundaries.
deepblue_score_matrix(experiments_columns = NULL, aggregation_function = NULL, aggregation_regions_id = NULL, user_key = deepblue_options("user_key"))
experiments_columns |
- A struct (map with experiments names and columns to be processed. Example : 'wgEncodeBroadHistoneDnd41H3k27acSig.wig':'VALUE', 'wgEncodeBroadHistoneCd20ro01794H3k27acSig.wig':'VALUE') |
aggregation_function |
- A string (aggregation function name: min, max, sum, mean, var, sd, median, count, boolean) |
aggregation_regions_id |
- A string (query ID of the regions that will be used as the aggregation boundaries) |
user_key |
- A string (users token key) |
score_matrix - A string (the score matrix containing the summarized data)
Other Operating on the data regions: deepblue_aggregate
,
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_select_annotations
,
deepblue_select_experiments
,
deepblue_select_regions
,
deepblue_tiling_regions
tiling_regions = deepblue_tiling_regions( size=100000, genome="mm10", chromosome="chr1") deepblue_score_matrix( experiments_columns = list(ENCFF721EKA="VALUE", ENCFF781VVH="VALUE"), aggregation_function = "mean", aggregation_regions_id = tiling_regions)