Abstract

Biomolecular networks and human diseases.

Highlights

  • Most existing computational methods were applied on static protein-protein interaction (PPI) networks to identify the protein complex

  • Most existing computational methods were applied on static PPI networks to identify the protein complex

  • In their paper “Identifying dynamic protein complexes based on gene expression profiles and PPI networks,” M

Read more

Summary

Introduction

Most existing computational methods were applied on static PPI networks to identify the protein complex. We reported the recent progress in computational approaches that have been developed for analyzing complex networks constructed from high-throughput data and their applications to human diseases. Lei et al proposed a novel clustering model which combined the optimization mechanism of artificial bee colony (ABC) with the fuzzy membership matrix to detect protein complexes from PPI networks.

Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call