Networks are routinely used to represent large data sets, making the comparison of networks a tantalizing research question in many areas. Techniques for such analysis vary from simply comparing network summary statistics to sophisticated but computationally expensive alignment-based approaches. Most existing methods either do not generalize well to different types of networks or do not provide a quantitative similarity score between networks. In contrast, alignment-free topology based networ...Expand abstract
- Publication status:
- Peer review status:
- Peer reviewed
- Publisher's version
- Systems Biology Doctoral Training Center (DTC) and the Oxford Center for Integrated Systems Biology (OCISB)
- Copyright holder:
- Ali et al.
- Copyright date:
- Authors retain copyright. This work is licensed under a Creative Commons Attribution 4.0 International License.
Comparison of large networks with sub-sampling strategies
Views and Downloads
If you are the owner of this record, you can report an update to it here: Report update to this record