Name
Title | ||
|---|---|---|
Detecting protein complexes in protein interaction networks using a ranking algorithm with a refined merging procedure. |
Abstract | ||
|---|---|---|
Developing suitable methods for the identification of protein complexes remains an active research area. It is important since it allows better understanding of cellular functions as well as malfunctions and it consequently leads to producing more effective cures for diseases. In this context, various computational approaches were introduced to complement high-throughput experimental methods which typically involve large datasets, are expensive in terms of time and cost, and are usually subject to spurious interactions. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1186/1471-2105-15-204 | BMC Bioinformatics |
Keywords | Field | DocType |
cluster analysis,proteins,microarrays,algorithms,bioinformatics,internet | Data mining,Protein Interaction Map,Protein Interaction Networks,Ranking,Computer science,Bioinformatics,Merge (version control),Spurious relationship,The Internet | Journal |
Volume | Issue | ISSN |
15 | 1 | 1471-2105 |
Citations | PageRank | References |
9 | 0.42 | 21 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eileen Marie Hanna | 1 | 10 | 1.11 |
| Nazar Zaki | 2 | 139 | 14.31 |