ArticlePloS one2014
Identification of important nodes in directed biological networks: a network motif approach.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- QOMIC: quantum optimization for motif identification.Bioinformatics advances · 2025Article
- Article
- Dynamic Modelling of DNA Repair Pathway at the Molecular Level: A New Perspective.Frontiers in molecular biosciences · 2022Article
- Topological network measures for drug repositioning.Briefings in bioinformatics · 2021Article
- Statistical Identification of Important Nodes in Biological Systems.Journal of systems science and complexity · 2021Article
- Statistical Identification of Important Nodes in Biological Systems.Journal of systems science and complexity · 2021Article
- Statistical and network analysis of 1212 COVID-19 patients in Henan, China.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020Article
- RA-map: building a state-of-the-art interactive knowledge base for rheumatoid arthritis.Database : the journal of biological databases and curation · 2020Article
- Identification of prognostic biomarkers in colorectal cancer using a long non-coding RNA-mediated competitive endogenous RNA network.Oncology letters · 2019Article
- ProMotE: an efficient algorithm for counting independent motifs in uncertain network topologies.BMC bioinformatics · 2018Article
- Modeling of the jasmonate signaling pathway in Arabidopsis thaliana with respect to pathophysiology of Alternaria blight in Brassica.Scientific reports · 2017Article
- A protein network descriptor server and its use in studying protein, disease, metabolic and drug targeted networks.Briefings in bioinformatics · 2017Article
- Unraveling a tumor type-specific regulatory core underlying E2F1-mediated epithelial-mesenchymal transition to predict receptor protein signatures.Nature communications · 2017Article
- inFRank: a ranking-based identification of influential genes in biological networks.Oncotarget · 2017Article
- Iterative Neighbour-Information Gathering for Ranking Nodes in Complex Networks.Scientific reports · 2017Article
- Article
- Identification of large disjoint motifs in biological networks.BMC bioinformatics · 2016Article
- The effect of inhibition of PP1 and TNFα signaling on pathogenesis of SARS coronavirus.BMC systems biology · 2016Article
- EpiTracer - an algorithm for identifying epicenters in condition-specific biological networks.BMC genomics · 2016Article
- Integrative topological analysis of mass spectrometry data reveals molecular features with clinical relevance in esophageal squamous cell carcinoma.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identification of important nodes in complex networks has attracted an increasing attention over the last decade. Various measures have been proposed to characterize the importance of nodes in complex networks, such as the degree, betweenness and PageRank. Different measures consider different aspects of complex networks. Although there are numerous results reported on undirected complex networks, few results have been reported on directed biological networks. Based on network motifs and principal component analysis (PCA), this paper aims at introducing a new measure to characterize node importance in directed biological networks. Investigations on five real-world biological networks indicate that the proposed method can robustly identify actually important nodes in different networks, such as finding command interneurons, global regulators and non-hub but evolutionary conserved actually important nodes in biological networks. Receiver Operating Characteristic (ROC) curves for the five networks indicate remarkable prediction accuracy of the proposed measure. The proposed index provides an alternative complex network metric. Potential implications of the related investigations include identifying network control and regulation targets, biological networks modeling and analysis, as well as networked medicine.
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