Heuristic-Based Ant Colony Optimization Algorithm For Protein Functional Module Detection In Protein Interaction Network
Ant colony optimization (ACO) is a metaheuristic algorithm that has been successfully applied to several types of optimization problems such as scheduling, routing, and more recently for solving protein functional module detection (PFMD) problem in protein-protein interaction (PPI) networks. For a s...
| 第一著者: | Sallim, Jamaludin |
|---|---|
| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2017
|
| 主題: | |
| オンライン・アクセス: | http://eprints.usm.my/45393/ |
| Abstract | Abstract here |
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