Title: | Umbrella package for R packages in the gDR suite |
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Description: | Package is a part of the gDR suite. It reexports functions from other packages in the gDR suite that contain critical processing functions and utilities. The vignette walks through the full processing pipeline for drug response analyses that the gDR suite offers. |
Authors: | Allison Vuong [aut], Bartosz Czech [aut] , Arkadiusz Gladki [cre, aut] , Marc Hafner [aut] , Dariusz Scigocki [aut], Janina Smola [aut], Sergiu Mocanu [aut] |
Maintainer: | Arkadiusz Gladki <[email protected]> |
License: | Artistic-2.0 |
Version: | 1.5.1 |
Built: | 2024-12-07 03:58:48 UTC |
Source: | https://github.com/bioc/gDR |
Import raw data
import_data( manifest_file, template_file, results_file, instrument = "EnVision" )
import_data( manifest_file, template_file, results_file, instrument = "EnVision" )
manifest_file |
character, file path(s) to manifest(s) |
template_file |
character, with datapaths and names of results file(s) or character with file path of templates file(s) |
results_file |
character, with datapaths and names of results file(s) or character with file path of results file(s) |
instrument |
string with type of instrument used |
a data.table
td <- get_test_data() i_df <- import_data(manifest_path(td), template_path(td), result_path(td))
td <- get_test_data() i_df <- import_data(manifest_path(td), template_path(td), result_path(td))
A dataset containing the ReadoutValues for combo experiments made-up of 3 drugs, 2 co-drugs, and 2 cell lines
data(small_combo_data)
data(small_combo_data)
A data frame with 3600 rows and 16 variables:
barcode
cell line id
cell line name
cell line tissue
cell line division time
drug id
drug name
drug mode of action
drug concentration
co-drug id
co-drug name
co-drug mode of action
co-drug concentration
readout value
backgroud value
duration
data.table
A dataset containing the ReadoutValues for single-agent experiments made-up of 10 drugs and 10 cell lines
data(small_data)
data(small_data)
A data frame with 3300 rows and 12 variables:
barcode
cell line id
cell line name
cell line tissue
cell line division time
drug id
drug name
drug mode of action
drug concentration
readout value
backgroud value
duration
data.table