normalizeMultiComboData: normalizeMultiComboData

In CancerRxGene/gdscIC50: Pipeline for GDSC Curve Fitting

normalizeMultiComboData

Description

Normalize combination data and condense data for >2 treatments

Usage

normalizeMultiComboData(screen_data, trim = T, neg_control = "NC-1",
  pos_control = "B")

Arguments

screen_data	a GDSC raw data data frame.
trim	logical indicating whether to trim normalized values to the range 0 to 1. default (trim = T)
neg_control	The tag used to recognise a negative control well - the upper end of the dynamic range.
pos_control	The tag used to recognise a positive control well - the lower end of the dynamic range.

Details

Some combination treatments have more than 2 drugs. This function will condense the treatments into an anchor + a library, e.g., A10, A12, L3, L4 becomes A10_A12 with L3_L4.

The concentration for the analysis is at the moment chosen with the lowest anchor/library number taking precendence, so in the above example the concentration of A10 is used as the concentration of the combined A10_A12 anchor.

This code will run slower than normalizeComboData if used for simple 2 drug combinations.

See Also

normalizeComboData

CancerRxGene/gdscIC50 documentation built on Oct. 6, 2022, 2:40 a.m.