differential_graph_example: Differential graph
In DrDimont: Drug Response Prediction from Differential Multi-Omics Networks
differential_graph_example R Documentation
Differential graph
Description
Exemplary intermediate pipeline output: Differential score graph example data built by
generate_differential_score_graph using the
interaction_score_graphs_example.
Consists of one graph containing edge attributes: the differential correlation values as
'differential_score' and the differential interaction score as 'differential_interaction_score'.
Usage
differential_graph_example
Format
An iGraph graph object.
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.
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
DrDimont documentation built on Sept. 23, 2022, 5:06 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| differential_graph_example | R Documentation |
Differential graph
Description
Exemplary intermediate pipeline output: Differential score graph example data built by
generate_differential_score_graph using the
interaction_score_graphs_example.
Consists of one graph containing edge attributes: the differential correlation values as
'differential_score' and the differential interaction score as 'differential_interaction_score'.
Usage
differential_graph_example
Format
An iGraph graph object.
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.
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.