View source: R/combinatorial_phenotypes_generation.R
process_cell_data | R Documentation |
process_cell_data
uses the channel_data and sample_data to filter
columns and cells from cell_data and discretize values based on thresholds
defined on channel_data.
process_cell_data(
cell_data,
channel_data,
sample_data,
sampleID_col = "Sample_ID",
n_threads = 1
)
cell_data |
Data.Frame where each column is a channel of measurement plus one column with sample IDs. Each row is a cell. |
channel_data |
Data.Frame containing columns named: Channel, Marker, T1, [T2, T3, ... , Tn], [OOB]. |
sample_data |
Data.Frame containing a Sample_ID column and additional grouping columns for the samples. |
n_threads |
Number of threads to be used (Only useful if there is an OOB column in channel_data). Default: 1 |
sample_ID_col |
Name of the column in |
Data.Frame with filtered and discretized cells.
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