Name
Title | ||
|---|---|---|
MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm. |
Abstract | ||
|---|---|---|
•A method of multiobjective problem based on network topological property is proposed.•A method of identifying protein complexes based on MOEPGA in PPI network is proposed.•Results show MOEPGA is superior to several prediction algorithms. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.compbiolchem.2015.06.006 | Computational Biology and Chemistry |
Keywords | Field | DocType |
Protein–protein interaction (PPI) network,Protein complex,Multiobjective evolutionary,Normalized clustering score | Population,Biology,Iterative method,Fungal protein,Bioinformatics,Initialization,Cluster analysis,Evolutionary programming,Genetic algorithm,Topological property | Journal |
Volume | ISSN | Citations |
58 | 1476-9271 | 8 |
PageRank | References | Authors |
0.44 | 16 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Buwen Cao | 1 | 26 | 3.25 |
| Jiawei Luo | 2 | 66 | 10.72 |
| Cheng Liang | 3 | 9 | 1.12 |
| Shulin Wang | 4 | 27 | 7.13 |
| Dan Song | 5 | 8 | 0.44 |