ArticleIET systems biology2017
Integer programming-based method for observability of singleton attractors in Boolean networks.
Article in IET systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Exploring Observability of Attractor Cycles in Boolean Networks for Biomarker Detection.IEEE access : practical innovations, open solutions · 2019Article
- Discovery of Boolean metabolic networks: integer linear programming based approach.BMC systems biology · 2018Article
- Global Stabilization of Boolean Networks to Control the Heterogeneity of Cellular Responses.Frontiers in physiology · 2018Article
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4 authors.
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Abstract
Boolean network (BN) is a popular mathematical model for revealing the behaviour of a genetic regulatory network. Furthermore, observability, an important network feature, plays a significant role in understanding the underlying network. Several studies have been done on analysis of observability of BNs and complex networks. However, the observability of attractor cycles, which can serve as biomarker detection, has not yet been addressed in the literature. This is an important, interesting and challenging problem that deserves a detailed study. In this study, a novel problem was first proposed on attractor observability in BNs. Identification of the minimum set of consecutive nodes can be used to discriminate different attractors. Furthermore, it can serve as a biomarker for different disease types (represented as different attractor cycles). Then a novel integer programming method was developed to identify the desired set of nodes. The proposed approach is demonstrated and verified by numerical examples. The computational results further illustrates that the proposed model is effective and efficient.
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