| drug_response_scores_example {DrDimont} | R Documentation |
Drug response score
Description
Exemplary final pipeline output: Drug response score data frame. This contains drugs and the
calculated differential drug response score. The score was calculated by
compute_drug_response_scores using
differential_graph_example, drug_target_edges_example and
Usage
drug_response_scores_example
Format
Data frame with two columns
- drug_name
Names of drugs
- drug_response_scores
Associated differential drug response scores
Details
drug_target_interaction <- make_drug_target(target_molecules='protein',
interaction_table=drug_gene_interactions,
match_on='gene_name')
A subset of the original data by Krug et al. (2020) and randomly sampled metabolite
data from layers_example was used to generate the correlation
matrices, individual graphs and combined graphs, interaction score graphs and differential
score graph. They were created from data stratified by estrogen receptor (ER) status:
'groupA' contains data of ER+ patients and 'groupB' of ER- patients. Drug-gene
interactions were used from The Drug Gene Interaction Database.
Source
Krug, Karsten et al. “Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy.” Cell vol. 183,5 (2020): 1436-1456.e31. doi:10.1016/j.cell.2020.10.036
The Drug Gene Interaction Database: https://www.dgidb.org/