| interaction_score_graphs_example {DrDimont} | R Documentation |
Interaction score graphs
Description
Exemplary intermediate pipeline output: Interaction score graphs example data built by
generate_interaction_score_graphs using combined_graphs_example
and drug_target_edges_example.
A named list (elements 'groupA' and 'groupB'). Each element contains an iGraph
object containing edge attributes: the correlation values as 'weight' and the
interaction score as 'interactionweight'.
Usage
interaction_score_graphs_example
Format
A named list with 2 items.
- groupA
iGraph graph object containing the interaction score as weight for groupA.
- groupB
Details
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. 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/