ArticleScientific reports2016
Using Multi-objective Optimization to Identify Dynamical Network Biomarkers as Early-warning Signals of Complex Diseases.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 25 citations in OpenAlex.
- Observing network dynamics through sentinel nodes.Nature communications · 2025Article
- Anticipating regime shifts by mixing early warning signals from different nodes.Nature communications · 2024Article
- Apelin/APJ system: an emerging therapeutic target for respiratory diseases.Cellular and molecular life sciences : CMLS · 2020Review
- Article
- Detecting the stable point of therapeutic effect of chronic myeloid leukemia based on dynamic network biomarkers.BMC bioinformatics · 2019Article
- Optimal information networks: Application for data-driven integrated health in populations.Science advances · 2018Article
- Identification of thyroxine-binding globulin as a candidate plasma marker of chronic obstructive pulmonary disease.International journal of chronic obstructive pulmonary disease · 2017Article
- Several Indicators of Critical Transitions for Complex Diseases Based on Stochastic Analysis.Computational and mathematical methods in medicine · 2017Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
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Abstract
Biomarkers have gained immense scientific interest and clinical value in the practice of medicine. With unprecedented advances in high-throughput technologies, research interest in identifying novel and customized disease biomarkers for early detection, diagnosis, or drug responses is rapidly growing. Biomarkers can be identified in different levels of molecular biomarkers, networks biomarkers and dynamical network biomarkers (DNBs). The latter is a recently developed concept which relies on the idea that a cell is a complex system whose behavior is emerged from interplay of various molecules, and this network of molecules dynamically changes over time. A DNB can serve as an early-warning signal of disease progression, or as a leading network that drives the system into the disease state, and thus unravels mechanisms of disease initiation and progression. It is therefore of great importance to identify DNBs efficiently and reliably. In this work, the problem of DNB identification is defined as a multi-objective optimization problem, and a framework to identify DNBs out of time-course high-throughput data is proposed. Temporal gene expression data of a lung injury with carbonyl chloride inhalation exposure has been used as a case study, and the functional role of the discovered biomarker in the pathogenesis of lung injury has been thoroughly analyzed.
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