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  • 标题:A Parallel Algorithm to Generate Connected Network Motifs
  • 本地全文:下载
  • 作者:Efendi Zaenudin ; Ezra Bernadus Wijaya ; Eskezeia Yihunie Dessie
  • 期刊名称:IAENG International Journal of Computer Science
  • 印刷版ISSN:1819-656X
  • 电子版ISSN:1819-9224
  • 出版年度:2019
  • 卷号:46
  • 期号:4
  • 页码:518-523
  • 出版社:IAENG - International Association of Engineers
  • 摘要:Network of interactions among bio-molecules is fundamental to biological processes. Many works have shown that molecular networks can be analyzed by decomposing the networks into smaller modules named network motifs. to elucidate the complex topology of a network. To achieve this goal, it requires to determine the complete set of motifs that are compose of five connected nodes.We developed an algorithm to remove motifs compose of disconnected components and implemented a parallelized algorithm to reduce the computation time. Our experiment demonstrated that the proposed parallel algorithm is approximately 1.3 times faster than serial programming for identifying 5-node motifs with all the nodes connected.
  • 关键词:Molecular Networks; Graph theory; Digraphs; Network Motifs; Isomorphic Graphs; Permutation Matrices
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