Name
Title | ||
|---|---|---|
Deterministic graph-theoretic algorithm for detecting modules in biological interaction networks |
Abstract | ||
|---|---|---|
An approach for module identification, Modules of Networks (MoNet), introduced an intuitive module definition and clear detection method using edges ranked by the Girvan-Newman algorithm. Modules from a yeast network showed significant association with biological processes, indicating the method's utility; however, systematic bias leads to varied results across trials. MoNet modules also exclude some network regions. To address these shortcomings, we developed a deterministic version of the Girvan-Newman algorithm and a new agglomerative algorithm, Deterministic Modularization of Networks (dMoNet). dMoNet simultaneously processes structurally equivalent edges while preserving intuitive foundations of the MoNet algorithm and generates modules with full network coverage. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1504/IJBRA.2010.032115 | IJBRA |
Keywords | Field | DocType |
girvan newman,biological process,biological systems,interaction network,graph theory,modules,algorithms,bioinformatics,betweenness,indexing terms | Graph theory,Hierarchical clustering,Graph,Ranking,Computer science,Gene ontology,Girvan–Newman algorithm,Algorithm,Theoretical computer science,Betweenness centrality,Modular programming,Bioinformatics | Journal |
Volume | Issue | Citations |
6 | 2 | 0 |
PageRank | References | Authors |
0.34 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roger L. Chang | 1 | 42 | 2.94 |
| Feng Luo | 2 | 284 | 26.03 |
| Stuart Johnson | 3 | 0 | 0.34 |
| Richard H. Scheuermann | 4 | 258 | 23.91 |